Analyst - Business Consulting Risk Ami jobs at Ey in India, Pune

Objectives and Purpose

• The Data Engineering Manager leads large scale solution architecture design and optimisation to provide streamlined insights to partners throughout the business. This individual leads the team of Mid and Senior data engineers to partner with visualization on data quality and troubleshooting needs.
• The Data Engineering manager will:
  • Implement data processes for the data warehouse and internal systems
  • Lead a team of Junior and Senior Data Engineers in executing data processes and providing quality, timely data management
  • Managing data architecture, designing ETL process
  • Clean, aggregate and organize data from disparate sources and transfer it to data warehouses.
  • Lead development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools.
  • Support team members and direct reports in refining and validating data sets.
  • Ensure we follow all the enterprise data management and principles. Understanding data management best practices
  • Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes.
  • Enterprise data governance principles - All the projects that are coming are following the process. Data catalogue, data security, access policy control, data lineage, new data domains
  • Understanding of data domains - Pharma commercials, medical affairs, sales and marketing, patient services

Your key responsibilities

• Lead the design, development, optimization, and maintenance of data architecture and pipelines adhering to ETL principles and business goals.
• Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies and data bricks to support increases in data source, volume, and complexity.
• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment.
• Lead the ad hoc data analysis, support standardization, customization and develop the mechanisms to ingest, analyze, validate, normalize, and clean data.
• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues.
• Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.
• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• Solve complex data problems to deliver insights that help achieve business objectives.
• Partner with Business Analysts and Enterprise Architects to develop technical architectures for strategic enterprise projects and initiatives.
• Coordinate with Data Scientists, visualization developers and other data consumers to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity.
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.

Preferred Skillsets

• Bachelor's degree in Engineering, Computer Science, Data Science, or related field
• 10+ years of experience in software development, data engineering, ETL, and analytics reporting development.
• Expert in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines.
• Advanced experience utilizing modern data architecture and frameworks like data mesh, data fabric, data product design
• Experience with designing data integration frameworks capable of supporting multiple data sources, consisting of both structured and unstructured data
• Proven track record of designing and implementing complex data solutions
• Demonstrated understanding and experience using:
  • Data Engineering Programming Languages (i.e., Python, SQL)
  • Distributed Data Framework (e.g., Spark)
  • Cloud platform services (AWS/Azure)
  • Relational Databases
  • Working knowledge of DevOps (Github/Gitlab etc.) with continuous integration
  • AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services
  • Data ingestion patterns. Ability to recommend right tools for data ingestion. The individual will also have to collaborate with enterprise architect
  • Knowledge of Data lakes, Data warehouses
  • Databricks/Delta Lakehouse architecture
• Deep understanding of database architecture, Data modelling concepts and administration.
• Handson experience of Spark Structured Streaming for building real-time ETL pipelines.
• Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals.
• Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs.
• Leverages continuous integration and delivery principles to automate code deployment to elevated environments using GitHub Actions.
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners.
• Strong organizational skills with the ability to manage multiple projects simultaneously, operating as leading member across globally distributed teams.
• Strong problem solving and troubleshooting skills.
• Lead and oversee the code review process within the data engineering team to ensure high-quality, efficient, and maintainable code, while optimizing for performance and scalability.
• Ability to work in a fast-paced environment and adapt to changing business priorities.
• Identifying and implementing strategies to optimize AWS / Databricks cloud costs, ensuring efficient and cost-effective use of cloud resources.
• Hand on experience on Cloud AWS/Azure, Spark. Individual should be open to upskilling, Snowflake (must), Redshift, Postrgres, Spark architecture.

Good to have skillsets

• Master's degree in engineering specialized in Computer Science, Data Science, or related field
• Experience working with pharma clients, preferably in commercial pharma, marketing and medical affairs
• Understanding of Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous.
• Demonstrated understanding and experience using:
  • Knowledge in CDK
  • Job orchestration tools like Tidal/Airflow/ or similar
• Knowledge on No SQL
• Experience in a global working environment
• Databricks Certified Data Engineer Professional
• AWS Certified Data Engineer - Associate

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.

Requisition Id : 1646989

CNS - Risk - Risk Management :

Financial Services Risk - helps clients in the financial sector to identify, manage and monitor the risks in their business. It is done through a transformative and agile approach including process and procedures, risk, data modeling and analytics, reporting to stakeholders and third parties, business requirements (for software selection and IT implementation), analysis of assets and liabilities, and capital and liquidity management.

Your key responsibilities

Technical Excellence

Anticipate and identify engagement-related risks and escalate issues as appropriate.
Identity & internally escalate and potential red flags related to the engagement.
Preparation of reports/deliverables/status updates/audit committee presentations.
Demonstrate the ability to multi-task and manage multiple projects as directed by the managers. Handling data analytics - Access, ACL etc.
Awareness of internal auditing standards issued by IIA and ICAI.

Skills and attributes

To qualify for the role you must have
Qualification

· Chartered Accountant/Certified Internal Auditor/Masters in Business Administration.

1 to 3 years of experience.

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.

What we offer

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

Senior Manager – Financial Services Audit

As our Senior Manager in the Financial Services Audit practice, you will help our clients meet their reporting requirements by accurately reporting on financial statements and providing meaningful insights. You will anticipate risk, team effectively across EY, and identify opportunities to enhance trust, focusing on overall audit quality, and building excellent client relationships. You will focus on account strategy and delivery, maximising the possibilities from data and technology.

Your key responsibilities

• Manage the audit engagement by defining audit strategy and executing it in compliance with our policies and protocol.
• Effectively manage the audit process with appropriate consideration of audit risk issues and technical matters.
• Be accountable for the budget, delivery and performance of complex processes, solutions and/or projects to achieve performance objectives.
• Lead and manage fieldwork on clients’ sites including liaising with other departments to ensure the smooth delivery of the audit process.
• Lead teams to achieve performance objectives, maintain staff utilisation, and oversee the work of junior audit staff, providing guidance, support, and training.

Skills and attributes for success

• At least 8 years’ experience of external audit experience, including planning, execution and reporting on audits.
• A relevant degree and/or progress towards/completion of a recognised accounting qualification (CA, CPA, ACCA or equivalent).
• Expertise in accounting frameworks (IFRS) and in related financial reporting matters.

Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Excellent communication and negotiation skills and a collaborative approach to management.
• The ability to develop and maintain deep relationships with clients, addressing their concerns and providing value added recommendations.
• The ability to create a positive learning culture, and coach and counsel junior team members to help them to develop.
• The ability to generate innovative solutions.

What we offer you

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally

Acknowledgement of Country

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young Australia. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

Azure Data Architect

• Deep knowledge of data management in cloud and big data analytics and have proven delivery experience in
  • • Building solutions
    • Building capability and handling large teams and
    • Proven thought leadership
• Hands on knowledge with all Big data analytics platforms and cloud data engineering stack
• Experience in designing and implementing robust data solutions, extensive experience in cloud-based technologies, and expertise in a variety of data-related tools and languages.
• Have knowledge on Cloud computing platforms including Azure, Databricks and Snowflake
• Knowledge on Apache Spark, Apache Kafka, Splunk, Datadog
• Experience with data modelling, data quality, data discoverability and governance tools
• Strong technical and hands on experience in building analytics applications
• Should have deep knowledge of complex solution architecting; have worked on various technologies, application space, data security and governance

Must have:

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution, change management and client influencing skills
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently.
• 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.
• 8-11 years of experience in the industry with at least 5 years in a technology leader role

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.

Requisition Id : 1646835

TMT :

Industry convergence offers TMT (Technology, Media & Entertainment, and Telecommunications) organizations the chance to evolve and transform, but it also presents challenges around competitiveness and delivering agile corporate strategies for growth.

CNS - RISK - DIGITAL RISK :

Financial Services Risk - helps clients in the financial sector to identify, manage and monitor the risks in their business. It is done through a transformative and agile approach including process and procedures, risk, data modeling and analytics, reporting to stakeholders and third parties, business requirements (for software selection and IT implementation), analysis of assets and liabilities, and capital and liquidity management.

Your key responsibilities

Technical Excellence

Skills and attributes

To qualify for the role you must have
Qualification

· A CA or master's degree in Science or master's degree in arts or master's in business, accounting, finance, or a related discipline

3 to 5 years of experience

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.

What we offer

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

Your key responsibilities

• Develop & deploy azure databricks in a cloud environment using Azure Cloud services
• ETL design, development, and deployment to Cloud Service
• Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
• Design and optimize model codes for faster execution

Skills and attributes for success

• 3 to 8 years of Experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
• Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmo Db etc.
• Familiar with cloud services like Azure
• Hands on experience on spark /pyspark
• Hands on experience in programming like python/scala
• Well versed in DevOps and CI/CD deployments
• Must have hands on experience in SQL and procedural SQL languages
• Strong analytical skills and enjoys solving complex technical problems

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3-8 years of industry experience
• Have working experience in an Agile base delivery methodology (Preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Strong analytical skills and enjoys solving complex technical problems
• Proficiency in Software Development Best Practices
• Excellent debugging and optimization skills
• Experience in Enterprise grade solution implementations & in converting business problems/challenges to technical solutions considering security, performance, scalability etc
• Excellent communicator (written and verbal formal and informal).
• Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
• Client management skills