Tech Ai Lead-eds jobs at Ey in India, Kochi

Requisition Id : 1633029

The opportunity : Executive-National-TAX-TAX - GCR - ACR - Mumbai

TAX - GCR - ACR :

Your key responsibilities

Technical Excellence

Relevant experience with accounting background

Skills and attributes

To qualify for the role you must have
Qualification

Relevant experience with accounting background

2-5 yrs

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.

Responsibilities and Accountabilities:

• Lead the implementation and configuration of the Signavio suite, including Process Manager, Workflow Accelerator, Process Intelligence, and Collaboration Hub.
• Work with business units to document current processes and develop future state process models using Signavio's tools.
• Facilitate workshops and training sessions to ensure effective adoption of Signavio across the organization.
• Analyze process data to identify improvement opportunities and provide actionable insights.
• Support the integration of Signavio with other enterprise systems to ensure seamless process management and data flow.
• Maintain process documentation and ensure adherence to governance standards and best practices.

Experience:

• 3-7 years of relevant experience in SAP Signavio.
• Successfully completed at least two end-to-end implementations.
• Demonstrated experience with Signavio or similar business process management tools.
• Strong understanding of business process modeling notations such as BPMN 2.0.
• Experience of having worked in a client facing delivery role.
• Experience in working in client-facing delivery roles, with a proven ability to manage stakeholder relationships.

Competencies / Skills:

• Knowledge of enterprise architecture and business process analysis.
• Familiarity with compliance and regulatory requirements impacting process design.
• Strong customer handling skills, with the ability to build relationships and provide mentorship to team members.
• Excellent communication skills for translating functional requirements into design documents.
• Advanced analytical and problem-solving capabilities, with a focus on data-driven decision-making.
• Able to handle multiple priorities and deadlines in a fast-paced environment.
• Ability to work collaboratively within diverse teams, while independently driving key deliverables.

Education:

• Graduate from a reputed educational institution.
• Certification in business process management or process improvement methodologies (e.g., Lean, Six Sigma) (preferred).

Must possess a valid passport and be willing to travel for client site work (domestic and international).

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

• Working with business, technology and process work streams to manage the data or information lifecycle, including data definition, data propagation and data traceability across functions
• Defining and implementing data management and governance framework, and relevant best practices for standing up a data governance board
• Establishing Data Ownership, Lineage and Traceability around the critical data elements
• Determine business rules and data quality constraints to be applied to the data and build automated workflows
• Define thresholds on quality rules and build workflows to inform on breaches which needs investigation and remediation.
• Need to work as a team member and Lead to contribute to various phases of building data governance framework using DG - (Alation, Atacama, Mantas).
• Establishing data governance policy and processes, including the data governance charter
• Interface and communicate with the onsite coordinators
• Creation of plans, procedures, roles/responsibilities, and guidelines for establishing a Data Governance and Quality team
• Completion of assigned tasks on time and regular status reporting to the lead

Skills and attributes for success

• Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates
• Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations
• Exposure to DG - (Alation, Atacama, Mantas)features like - Catalog & Traceability Management, Data Quality, Master Data Management, Data Migration, DG - (Alation, Atacama, Mantas) Data Governance Center (DGC)
• Experience in CCAR reporting requirements
• Building a quality culture
• Foster teamwork
• Participating in the organization-wide people initiatives

To qualify for the role, you must have

• BE/BTech/MCA/MBA with adequate industry experience
• Should be at least around 3 to 10 years of experience in DG - (Alation, Atacama, Mantas)/Informatica DQ,Axon etc
• Experience in Working with DG - (Alation, Atacama, Mantas) Data Governance tool, end-to-end implementation.
• Understanding Governance, Metadata management, profiling process.
• Should have experience in integrating reporting tools with DG - (Alation, Atacama, Mantas)
• Should have knowledge of data modelling.
• Experience in Security implementation in DG - (Alation, Atacama, Mantas)
• Ability to manage self-service data preparation, data sync, data flow and working with curated data sets
• Good understanding of various data models e.g. snowflakes, data marts, star data models, data lakes etc.
• Excellent written and verbal communication.
• Having Cloud experience is added advantage.
• Knowledge and working experience with SQL / Oracle database.
• Strong knowledge in DWH concepts.
• Strong data modelling skills.
• Familiar with Agile and Waterfall SDLC process
• Strong SQL/PLSQL with analytical skill.

Ideally, you’ll also have

• Experience on Insurance and Banking domains
• Strong hold in project delivery and team management
• Excellent written and verbal communication skills

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries

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.

Role Overview

As a senior Data Engineer, you will be responsible for building robust, scalable, and compliant data pipelines from raw scientific sources to integrated and consumption-ready data products in the R&D landscape. You will partner with architects, domain SMEs, and analysts to develop re-usable components supporting early discovery, development, and regulatory needs.

Key Responsibilities

• Design and implement pipelines across L1–L3 layers using Databricks and Spark.
• Develop modular, parameterized ETL processes for large-scale scientific data integration.
• Implement and maintain STTM mappings and transformation logic with domain BAs.
• Build metadata-driven orchestration, logging, and observability frameworks.
• Support performance optimization, validation, and deployment readiness across squads.
• Collaborate with architects on cloud-native best practices and standards.

Must-Have Skills

• 8+ years of experience in data engineering, with 3+ in life sciences or R&D settings.
• Hands-on expertise with Spark, Databricks, Delta Lake, and Python/SQL.
• Experience in building pipelines with STTM/SDTM alignment and scientific data quality requirements.
• Good understanding of L1–L3 pipeline layering and governance controls.
• Familiarity with GxP or other compliance-driven implementations.

Nice-to-Have Skills

• Exposure to ELNs, LIMS, compound registration systems, or bioassay platforms.
• Knowledge of Unity Catalog, Matillion, or metadata-driven architecture approaches.
• Experience with ingestion frameworks, schema evolution, and CI/CD for data.

Your key responsibilities

• Lead and Architect migration of data analytics environment from Teradata to Snowflake with performance and reliability
• Develop & deploy big data pipelines in a cloud environment using Snowflake cloud DW
• ETL design, development and migration of existing on-prem ETL routines to Cloud Service
• Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams
• Design and optimize model codes for faster execution

Skills and attributes for success

• Hands on developer in the field of data warehousing, ETL
• Hands on development experience in Snowflake.
• Experience in Snowflake modelling - roles, schema, databases.
• Experience in Integrating with third-party tools, ETL, DBT tools
• Experience in Snowflake advanced concepts like setting up resource monitors and performance tuning would be preferable
• Applying object-oriented and functional programming styles to real-world Big Data Engineering problems using Java/Python
• Develop data pipelines to perform batch and Real - Time/Stream analytics on structured and unstructured data.
• Data processing patterns, distributed computing and in building applications for real-time and batch analytics.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3 - 7 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.
• Excellent communicator (written and verbal formal and informal).
• Be a technical expert on all aspects of Snowflake
• Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
• Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology
• Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
• Provide guidance on how to resolve customer-specific technical challenges

Ideally, you’ll also have

• Client management skills

What we look for

• Minimum 5 years of experience as Architect on Analytics solutions and around 2 years of experience with Snowflake.
• 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

• Architecture & Solutioning
  • Design and propose Azure-based data and AI solutions that align with customer objectives and solve business challenges.
  • Architect and implement data platforms that support real-time, batch, and hybrid analytics .
  • Recommend design alternatives for data ingestion , processing , and provisioning layers .
  • Define and develop client-specific best practices around data management in cloud environments.
  • Translate business problems into data models , analytics pipelines , and BI/ML solutions .
  • Collaborate with cross-functional teams to ensure data security , scalability , and performance .

• Data Engineering & Development
  • Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies .
  • Design and develop data ingestion programs for large datasets in batch mode using ADB, ADF, Synapse, PySpark, and Python.
  • Build real-time ingestion pipelines using Apache Kafka, Spark Streaming, and related technologies.
  • Lead the development of data Lakehouse architectures , streaming pipelines , and data integration frameworks .

• Governance, Quality & Patterns
  • Define and implement data governance , lineage , and quality frameworks .
  • Guide teams on various modern data design patterns , e.g.:
    • ETL/ELT
    • Lambda/Kappa Architecture
    • Data Vault & Dimensional Modelling
    • Streaming Data Pipelines
    • CQRS
    • Change Data Capture (CDC)
    • Schema Evolution
    • Immutable Data
    • Polyglot Persistence

• Leadership & Client Engagement
  • Interact with senior client technology leaders to understand business goals and propose solutions.
  • Lead technical delivery , including effort estimation , solution design , and team management .
  • Develop and present PoCs , demos , and technical proposals to stakeholders and clients.
  • Build and mentor technical teams and contribute to capability development .

Skills and Attributes for Success

• Strong understanding of cloud ecosystems (Azure, AWS) and distributed computing paradigms .
• Hands-on experience with:
  • Azure Data Services : Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric
  • Programming : Python, PySpark, SQL
  • Streaming : Kafka, Event Hubs, Spark Streaming
  • BI Tools : Power BI, Tableau
• Comprehensive applied knowledge of:
  • Data modelling (dimensional, vault)
  • Data governance , metadata management , and data observability
  • Performance tuning
• Strong stakeholder management and ability to bridge business and technical teams .
• Exposure to AI/ML platforms : Azure Machine Learning, Cognitive Services, Azure OpenAI.

To Qualify for the Role, You Must Have

• Minimum 10 years of industry experience , with 7+ years in data architecture and analytics .
• Proven experience in enterprise-grade solution implementations .
• Strong understanding and hands-on experience in data strategy , cloud-native architectures , and analytics modernization .
• Experience in responding to RFPs/RFIs , creating technical documentation , and leading solution design workshops .

Ideally, You’ll Also Have

• Project and client management skills.
• Experience in solutioning and pre-sales engagements.
• Exposure to data mesh principles and domain-oriented data product design .
• Familiarity with data fabric architectures and multi-cloud data strategies .
• Familiarity with real-time analytics
• Experience with feature stores and ML model operationalization .

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

Generative AI – Application Developer (Python)

Ever-increasing regulations require tax departments to gather, organize and study more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

Your key responsibilities

• Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/ platform development strategy.
• Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs.
• Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving.
• Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process.

Must-Have:

• Skilled in full-stack application development with Python, FAST Api, React or any other typescript based UI frameworks, SQL databases
• Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID etc.
• Containerisation – Docker, Azure container apps, Azure Kubernetes Services (AKS)
• No-SQL database such Cosmos or Mongo DB
• Working experience with source control such as git or TFVC
• CI/CD pipelines, Azure DevOps, GitHub Actions etc.
• Generative AI application development with Azure OpenAI, Semantic Kernel, LangChain, and Vector databases like Azure AI search, Postgres, etc.
• Fundamental understanding of various types of Large Language Models (LLMs)
• Fundamental understanding of Retrieval Augment Generation (RAG) techniques
• Fundamental understanding of classical AI/ML
• Skilled in Advanced prompt engineering

Nice-to-Have:

• Awareness about various AI Agents/ Agentic workflow frameworks and libraries
• Graph Database such as Neo4j
• Experience with M365 Copilot Studio
• Microsoft Azure AI-900/ AI-102 Certification

Behavioural Skills:

• Excellent learning ability.
• Strong communication skill.
• Flexibility to work both independently and as part of a larger team.
• Strong analytical skills and attention to detail.
• The ability to adapt your work style to work with both internal and client team members.

To qualify for the role, you must have

• Bachelor’s / master’s degree in software engineering / information technology / BE/ B.TECH
• An overall 5 – 9 years of experience.

Ideally, you’ll also have

• Thorough knowledge Tax or Finance Domain.
• Strong analytical skills and attention to detail.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY TAS practices globally with leading businesses across a range of industries

What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – 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.