Description

You design, build, and maintain scalable ETL/ELT data pipelines for data ingestion and transformation.

This role is on-site.

Responsibilities

• Develop and maintain ETL/ELT pipelines using PySpark, SQL, and Snowflake.
• Ingest and transform data from APIs, flat files, and relational databases.
• Design and manage data models using Star and Snowflake schema designs (Fact/Dimension tables).
• Optimize Snowflake queries and Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, validation frameworks, and testing procedures.

Required Skills

• 6–8 years of experience in Data Engineering and pipeline development.
• Strong hands-on expertise with Snowflake, PySpark, and SQL.
• Proven experience building scalable ETL/ELT data pipelines.
• Expertise in data modeling and performance optimization.
• Experience implementing data quality frameworks and troubleshooting production issues.
• Proficiency in code versioning using Git.

Preferred Skills

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Any Graduate