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**EY GDS Consulting - AI & DATA - Senior Data Engineer - Join our Collaborative Team!** As a Senior Data Engineer within EY's GDS Data & Analytics team, you'll drive data-centric solutions, shaping business outcomes across diverse industries like Banking, Insurance, and Healthcare. Leverage your 5+ years of experience in data engineering and BI/ETL development to manage data pipelines, empowering data-driven decisions. Key Responsibilities: - Design, develop, and maintain scalable data models and cloud-based data warehouses (Snowflake, Databricks). - Proficiency in Python (Pandas, NumPy, Dash) and AI frameworks (Agentic AI). - Strong problem-solving and communication skills, with experience in machine learning workflows and cloud platforms (AWS, GCP, Azure). - Familiarity with CI/CD pipelines, API development, and microservices architecture. - Collaborate cross-functionally, guiding junior team members, and fostering a data-driven culture. Required Skills: - 5+ years of relevant experience in data engineering and BI/ETL development. - Expertise in Snowflake, Databricks, PySpark, and Python ( Dash, Pandas, NumPy). - Strong SQL skills and experience with cloud-based solutions (AWS - S3, EC2, Lambda). - DevOps tools: Jenkins, Git, GitHub. Database Technologies: MySQL, PostgreSQL, NoSQL. - Commercial acumen and enthusiasm to learn in this fast-moving environment.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
At EY, were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
EY-Advisory - Data and Analytics Data Engineer -Senior
As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
Roles and Responsibilities:
- 5+ years of experience in BI/ETL development and data engineering.
- Hands-on expertise in Agentic AI frameworks (must-have).
- Proficiency in Snowflake, Databricks, and PySpark.
- Advanced programming skills in Python.
- Solid understanding of data modelling, data warehousing, and cloud platforms (AWS/Azure/GCP).
- Excellent problem-solving and communication skills.
- Experience with machine learning workflows and AI-driven analytics.
- Familiarity with CI/CD pipelines, API development, and microservices architecture
- Cloud Platforms: AWS (S3, EC2, Lambda).
- Programming Languages: Python (Dash, Pandas, NumPy), SQL.
- DevOps Tools: Jenkins, Git, GitHub.
- Database Technologies: MySQL, PostgreSQL, NoSQL databases.
Experience :
- Should have 5+ years of Relevant Experience.
What we look for
- A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
What working at EY offers
At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are.
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 thats right for you
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
