Description

You will design and build data pipelines for ingestion, transformation, and reporting. You own the integrity of analytical tables, views, and materialized views used for dashboarding and advanced analytics.

Responsibilities

• Develop and maintain ETL workflows using SQL and Python.
• Create and optimize database performance through indexing, partitioning, and query tuning.
• Build interactive dashboards and reports using Power BI.
• Perform data analysis and validation to ensure data accuracy and integrity.
• Translate business requirements into technical data solutions.

Required Skills

• 2–4 years of professional experience in data analytics or data engineering.
• Strong proficiency in SQL, Python, and ETL concepts.
• Hands-on experience with data pipelines and data modeling.
• Experience with PostgreSQL and MySQL databases.
• Proficiency with Apache Airflow for workflow orchestration.
• Experience with Pandas for data manipulation.
• Ability to create reports and dashboards using Power BI.

Key Skills

Education

Any Graduate