Data Warehouse Engineer

3 weeks ago

Chennai, India Pando Full time

Job Description Key Responsibilities: - Assist in building and maintaining scalable data pipelines using tools like PySpark and SQL-based ETL processes. - Support the development and maintenance of data models for dashboards, analytics, and reporting. - Help manage parquet-based data lakes and ensure data consistency and quality. - Write optimized SQL queries for OLAP database systems and support data integration efforts. - Collaborate with team members to understand business data requirements and translate them into technical implementations. - Document workflows, data schemas, and data definitions for internal use. - Participate in code reviews, team meetings, and training sessions to continuously improve skills. Requirements: - 24 years of experience working with data engineering or ETL tools (e.g., PySpark, SQL, Airflow). - Solid understanding of SQL and basic experience with OLAP or data warehouse systems. - Exposure to data lakes, preferably using Parquet format. - Understanding of basic data modeling principles (e.g., star/snowflake schema). - Good problem-solving skills and willingness to learn and adapt. - Ability to work effectively in a collaborative, fast-paced team environment. Preferred Qualifications: - Experience working with cloud platforms (AWS, Azure, or GCP). - Exposure to low-code data tools or modular ETL frameworks. - Interest or prior experience in the supply chain or logistics domain. - Familiarity with dashboarding tools like Power BI, Looker, or Tableau.

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