EY - GDS Consulting - AI And DATA - Snowflake - Senior
Ernst & Young (EY)
5 - 10 years
Kochi
Posted: 15/11/2025
Job Description
At EY, we’re all in to shape your future with confidence.
We’ll 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.
Core Responsibilities of a Data Engineer in D&A
- Data Pipeline Design & Development
Data Engineers are responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs. This includes:
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- ETL/ELT development using tools like Azure Data Factory, Databricks, and Snowflake.
- Integration of structured and unstructured data from various sources into data lakes and warehouses.
- Cloud Platform Engineering
They operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
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- Manage environments, performance tuning, and configuration for cloud-native data solutions.
- Data Modeling & Architecture
- Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
- Collaborate with solution architects and analysts to ensure models meet business needs.
- Data Governance & Security
- Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
- Implement data masking, access controls, and metadata management for sensitive datasets.
- Collaboration & Agile Delivery
- Work closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions.
- Participate in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment.
- Mentorship & Talent Development
- Help business users understand and leverage analytics tools effectively.
Key Skills Required
- Programming: Python, SQL, Spark
- Cloud Platforms: Azure, AWS, Snowflake
- Data Tools: DBT, Erwin Data Modeler, Apache Airflow
- Governance: Data masking, metadata management, SOX compliance
- Soft Skills: Communication, problem-solving, stakeholder engagement
- Experience in Data Eng > 7 years
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.
About Company
Ernst & Young (EY) is a global professional services firm specializing in audit, consulting, tax, and advisory services. Headquartered in London, EY operates in 150+ countries, serving businesses across various industries. The firm is known for helping clients navigate financial regulations, optimize operations, and implement innovative technologies. EY is also a leader in risk management, mergers & acquisitions, and sustainability consulting. With a strong focus on digital transformation and AI-driven solutions, EY continues to be a trusted partner for corporations worldwide.
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