Data Engineer with Snowflake:
Client: Tata Elxsi/Danaher.
Location: India/Remote.
Key Responsibilities
Data Engineering
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data ingestion frameworks from multiple source systems.
- Develop data transformation processes using Snowflake and SQL.
- Ensure data quality, consistency, and reliability across data platforms.
- Support batch and real-time data processing requirements.
Snowflake Development
- Create and manage Snowflake databases, schemas, tables, views, and stages.
- Implement Snowflake features such as Streams, Tasks, Snowpipe, Dynamic Tables, and Time Travel.
- Optimize query performance and warehouse utilization.
- Design secure and scalable data models in Snowflake.
- Monitor and manage Snowflake costs and resource consumption.
Cloud & Integration
- Integrate data from cloud storage services and enterprise applications.
- Work with cloud platforms such as AWS, Azure, or Google Cloud.
- Implement secure data movement and storage solutions.
- Collaborate with DevOps teams for deployment automation and monitoring.
Data Modeling & Analytics Support
- Design dimensional and relational data models.
- Build curated datasets for reporting and analytics.
- Support BI and reporting tools by providing optimized data structures.
Collaboration
- Work closely with business analysts, data scientists, architects, and stakeholders.
- Participate in code reviews and technical design discussions.
- Document data pipelines, architecture, and operational procedures.
Pay: ₹510,731.19 - ₹1,870,151.03 per year
Work Location: Remote
