דרושים Det-app Engineer-azure-gdsn02 ב-Ey ב-India, Kerala, Kochi

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Tech Stack: -

• AWS
• Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
• Experience in Pyspark/Spark / Scala
• Experience using software version control tools (Git, Jenkins, Apache Subversion)
• AWS certifications or other related professional technical certifications
• Experience with cloud or on-premises middleware and other enterprise integration technologies.
• Experience in writing MapReduce and/or Spark jobs.
• Demonstrated strength in architecting data warehouse solutions and integrating technical components.
• Good analytical skills with excellent knowledge of SQL.
• 8+ years of work experience with very large data warehousing environment
• Excellent communication skills, both written and verbal
• 3+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• 3+ years of experience data modelling concepts
• 3+ years of Python and/or Java development experience
• 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive)

Skills and attributes for success

• Architect in designing highly scalable solutions AWS.
• Strong understanding & familiarity with all AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs, Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in Apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 8 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Job Description:

This role requires a proactive individual who can conduct comprehensive assessments, develop data quality policies, and implement effective solutions to enhance data integrity across various domains.

Responsibilities:

• Conduct current state assessments of client environments across all domains of data governance and data management.
• Perform initial data quality assessments using open-source tools and demonstrate proficiency with advanced data quality tools.
• Develop data quality rules, define data quality issues resolution, and create policies and processes to address these issues.
• Design and implement data quality issue resolution strategies, including defining Key Performance Indicators (KPIs) and experience in implementing data quality KPIs.
• Lead full-scale implementation and configuration of leading data quality tools, with a focus on Informatica Data Quality.
• Collaborate with cross-functional teams to ensure data quality standards are met and maintained.
• Prepare and deliver compelling presentations to stakeholders, showcasing findings and recommendations.
• Support business development initiatives and contribute to the delivery of projects globally.

Must have skills:

• Relevant experience in Informatica Data quality or similar tools.
• Strong understanding of data management, data quality, and governance principles.
• Proven experience in implementing data quality rules, business glossaries, data quality profiling, and publishing Data Quality results dashboards.
• Ability to articulate and propose technology solutions to meet business requirements.
• Ability to handle all required activities with minimal support.

Good To have:

• Good understanding of Data Management and Governance frameworks and leading practices such as DAMA, CMMI, or NDMO.
• Familiarity with related Data Governance and Management tools and technologies such as EDC, AXON, Microsoft Purview and Collibra.

Project Manager with German

As a part of our global Business Transformation Delivery and Execution team, you will participate in international projects, leading projects and programs for our global market clients. You will be involved in working on challenging assignments, assisting our client's trough they transformation and organization change journeys. You will also be part of team creating industry leading solutions in widely understood project management services.

Your key responsibilities

• You will support our clients in the business and organizational transformation journey, actively becoming a trusted advisor in PM subject matters for both clients and EY colleagues.
• You will provide consultation and recommendations based on client’s requirement and develop relationships with team members across all EY practises to serve client needs. You will work with various teams to ensure that client’s requirement, budget and milestones for projects are met.

Skills and attributes for success

• Good planning and organizing, ability to see the big picture as well as focused on details and errorless delivery.
• Excellent professional communication skills, ability to approach senior stakeholders using appropriate level of details, terminology, and fit-to-purpose communication.
• Ability to work in a continuously changing environment, proactive with can-do-attitude, looking for solutions and opportunities.
• Strong project management skills including agile methods.

To qualify for the role, you must have

• Minimum 3-4 years of experience in project management in large-scale projects or programs within distributed multicultural environments.
• Excellent German language skills in written and spoken.
• Very Good English language skills in written and spoken.
• Experience in change management, business analysis and process transformations.
• Knowledge of Microsoft Office, MS project, MS Share Point, JIRA, Azure Dev Ops, other project management tools.
• One or more industry certifications: Prince 2, PMP, Agile PM, PMI-ACP, CSM/PSM, SAFe.
• Ability and willingness to travel
• A higher education degree preferably in business, technology, science or engineering.

Ideally, you’ll also have

• Further European language.

• Experience in working at consulting companies.
• Six Sigma or/and Business Analysis certification.
• Experience with: Payroll, HR Processes, SAP SuccessFactors.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

In compliance with the requirements of the Whistleblower Protection Act, our company has established theProcedure for reporting breaches of law and undertaking appropriate follow-up actions

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 8 - 11years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

AWS

• Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
• Experience in Pyspark/Spark / Scala
• Experience using software version control tools (Git, Jenkins, Apache Subversion)
• AWS certifications or other related professional technical certifications
• Experience with cloud or on-premises middleware and other enterprise integration technologies.
• Experience in writing MapReduce and/or Spark jobs.
• Demonstrated strength in architecting data warehouse solutions and integrating technical components.
• Good analytical skills with excellent knowledge of SQL.
• 8+ years of work experience with very large data warehousing environment
• Excellent communication skills, both written and verbal
• 8+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• 8+ years of experience data modelling concepts
• 8+ years of Python and/or Java development experience
• 8+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive)

Skills and attributes for success

• Architect in designing highly scalable solutions AWS.
• Strong understanding & familiarity with all AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs, Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in Apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 8-11 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities

• Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies, including data acquisition, transformation, analysis, Modelling, Governance & Data management skills
• Interact with senior client technology leaders, understand their business goals, create, propose solution, estimate effort, build architectures, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using ADB, ADF, PySpark, Python, Snypase
• Develop data ingestion programs to ingest real-time data from LIVE sources using cloud services, Spark Streaming and related technologies
• Have managed team and have experience in end to end delivery
• Have experience of building technical capability and teams to deliver
• Good to have experience on IOT with real-time analytics.
• Prefered domain – Energy, Oil & Gas
• AI/ML (Strong knowledge): Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.

Skills and attributes for success

• Strong understanding & familiarity with all Cloud Ecosystem components
• Strong understanding of underlying Cloud Architectural concepts and distributed computing paradigms
• Experience in the development of large scale data processing.
• Hands-on programming experience in Microsoft Fabric, ADB, ADF, Synapse, Python, PySpark, SQL
• Hands-on expertise in cloud services like AWS, and/or Microsoft Azure eco system
• Solid understanding of ETL methodologies in a multi-tiered stack with Data Modelling & Data Governance
• Experience with BI, and data analytics databases
• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Strong stakeholder, client, team, process & delivery management skills

To qualify for the role, you must have

• Design and propose Azure-based data and AI solutions that align with customer objectives and solve business challenges.
• Develop and present demonstrations, prototypes, and PoCs to showcase the value and capabilities of the proposed solutions.
• Create technical proposals, presentations, and respond to requests for proposals (RFPs) and information (RFIs).
• Lead the technical aspects of project delivery, ensuring that implementations align with the initial solution design.
• Define and implement best practices and agile methodologies for the delivery of scalable Cloud solutions.
• Provide expert guidance on data strategy, cloud architecture, and the technology stacks needed for data modernization, AI, and machine learning workloads.
• Data: Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, and Cosmos DB.
• AI/ML (knowledge): Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Project management skills
• Client management skills
• Solutioning skills

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Directory Enablement Senior Engineer

As part of dynamic and highly knowledgeable teams, the Directory Enablement Engineer drives the best practices in basic to complex engineering activities aligned to directory services technologies and supports the remediation and implementation directives for the technology as may be identified by or assigned to the Identity & Access Management Services (IAMS) group within Information Security. The role designs and develops said architectural elements or modifications including but not limited to integrated processes, applications, data and technology remediation. The role supports the need for engineered solutions from Information Technology (IT) enterprise architecture directives, as determined by operational requirements from such global operations partners as Identity & Access Management Services (IAMS) within Information Security. The role’s efforts maintain directory technologies (e.g. Active Directory, Entra ID) and other security aligned functions and performs all work in adherence to EY’s compliance standards for technology development and deployment. As part of supporting a continuous process improvement remit, the role is expected to utilize a variety of modern IT systems management technologies for large, complex environments including Configuration Manager, Operations Manager, Powerbroker, Active Roles Server, Sentinel reporting and scripting technologies such as PowerShell.

Your key responsibilities

The role requires an understanding of a hybrid Identity infrastructure utilizing Microsoft Active Directory Domain Services and Microsoft Entra ID.

The role may also require the periodic allocation of additional time on the job to support multiple demands and escalating issues and could be asked to travel to support planned project activities and collaboration.

Knowledge and Skills Requirements:

• Ability to write detailed documentation required for solution delivery for instructional content for implementing engineers, as well as operational content and diagrams for support engineers.
• Maintains solid interpersonal skills to engage with others including senior executives of the firm, in cross business discussions within a matrixed, geographically dispersed organization and to build a solid network of peers and others of influence. Adapts personal communication style to the style of others, develops rapport, stay calm under pressure and escalating issues using advanced oral and written English communication skills.
• Projects well-defined consultative skill to conduct effective questioning, hone in on key directives to formulate ideas and materials as well as present those ideas clearly and concisely to all levels of the organization including senior and/or executive management.
• Maintains an advanced comprehensive knowledge of services and applications with the future and forward vision of the IAM processes and operating environment to recognize and position improvement opportunities and next generation solutions achievable through engineering or other technical solutions.
• Manifests a strong analytical and problem-solving ability to escalate and negotiate complex and conflicting IAM or Information Security aligned engineering issues, handle multiple and shifting IAM engineering priorities across a broad spectrum of operating environments and drive solutions that are both financially sound and operationally feasible.
• Develops an in depth and continuous understanding of EY’s business and the way IAMS Engineering teams adds to the effectiveness of the EY business. Positions appropriate services and solutions as part of both knowledge sharing and Directory Enablement services positioning.
• Manage engineering projects by operating within best practices or delegate work as needed utilizing the proper resource, time and project management disciplines across a diverse culture and multiple time zones.
• Maintains a continuous review of aligned applications and software, servers and networks aligned to the IAM and directory environments including but not limited to the Systems Center Operations Manager Administration, Windows 2016 and 2022 Administration and Infrastructure, perimeter networks (DMZ), Single Sign-On (SSO) configuration and remediation, and Lightweight Directory Access Protocol (LDAP).
• Maintains advanced and continuous knowledge of the ancillary technologies to be engineered such as Lightweight Directory Services (LDS), Rights Management Systems (RMS) as part of the IAM services to support the time sensitive management, monitoring and automation of Tier 0 technologies and other directives and drive continuous improvement.

To qualify for the role, you must have

• College degree in related technology field (Computer, Engineering, Science, etc.) or comparable job experiences aligned to Active Directory and/or IAM engineering directives
• Approximately 8 to 10 years of experience in an engineering role. Able to exhibit a progression of increasingly complex job responsibilities during the period inclusive of project management skills, engineering remediation techniques and project planning and implementation.
• Certification as a Microsoft Certified Systems Administrator (MCSA)
• Certification as a Microsoft Certified Solution Expert (MCSE) Core Infrastructure or Productivity
• 10 years Active Directory
• 2 years Azure AD
• 4 years PowerShell scripting

Ideally, you’ll also have

• Understanding and experience with Azure managed services.
• Understanding and experience with Cloud service providers, such as AWS.
• Understanding and experience with System Center Configuration Manager.
• Powerbroker
• Active Roles Server
• Splunk and/or Sentinel

What we look for

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

This role is for an experienced Google Workspace engineer, with high level knowledge on GWS Configuration and Platform management. The individual will be focused on providing engineering initiatives, especially on the areas involving scripting used for licensing, provisioning, reporting etc.

In addition awareness of any engineering requirements for Google Chat, Mail, Meet, Drive, Sheets/Docs etc. is paramount. The individual should have a strong understanding and awareness of various Google Workspace controls and features.

Your key responsibilities

• Primarily Google Workspace engineering work (mainly focused on identity lifecycle management, GWS license assignment, service delivery and management, incident/problem triage of managed services).
• Secondary engineering work related to the Microsoft 365 Platform.
• Working with Product manager\other Engineers and operations staff to test, implement and transition new services, or upgrades to existing core foundational services in this space
• Support for the various existing services such as end user Mailbox provisioning, identity integration, environment management
• Provide input and recommendations on areas of service improvement both from a technical point of view, but also from a process perspective.
• Responsible for certain technical and non-technical deliverables within assigned projects and areas of responsibility, including collaboration with solution architects, engineers, operational staff, project managers and core service owners.
• Reporting and KPI statistics gathering to complement service ownership
• Additional equivalent engineering skills and experience for the Microsoft 365 Platform and foundational products is key

To qualify for the role, you must

• Experience with GWS service\feature implementations and deployment across multiple sites and geos.
• Understand attribute management and its synchronization from different systems (Talent, Active Directory , Azure AD and various other GWS services
• Experience integrating internal infrastructures and processes with GWS cloud environments, including security and RBAC models.
• Good M365 engineering experience and knowledge.
• Strong knowledge and scripting skills in both GWS and M365 environments.
• Strong documentation and troubleshooting skills.
• Excellent communication and presentation skills