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EY EY - GDS Consulting AI DATA -Snowflake Senior 
India, Kerala, Kochi 
174852763

Yesterday

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:
  • 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.
  • 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.

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