Description

You will build and maintain data-driven solutions within a data engineering context, working primarily during core hours of 8:30 pm to 12:30 am IST.

Responsibilities

• Develop ETL processes using SQL and Python scripts.
• Build data visualizations in Google Looker supported by Redshift and Airflow.
• Create and maintain unit and integration testing solutions.
• Deploy, tear down, and provide operational support for solutions across multiple environments.
• Participate in code reviews to improve stability and maintainability.

Required Skills

• 3+ years of experience in Data Engineering or Data Science.
• 3+ years of experience with Python and SQL.
• 3+ years of experience with AWS (S3, Redshift, Glue, DynamoDB).
• 3+ years of experience with PostgreSQL, Hadoop, and Apache Airflow.
• 3+ years of experience with data formats including JSON, Parquet, and CSV.
• 1+ years of experience in Looker.
• 3+ years of experience in ETL and data sanitization.
• Degree in Computer Science or a related field.

Preferred Skills

• Experience with GitHub and CI/CD tools.
• Experience with Infrastructure as Code, Shell, C#, .NET, or NodeJS.

Key Skills

Education

ANY GRADUATE