Data Engineer

Batch: 2024/2025/2026. Responsibilities: - Strong understanding of SQL, relational database concepts, and data modeling fundamentals - Solid knowledge of Python for data work (control flow, modular code, file handling, pandas, NumPy) - Understanding of data pipelines, ETL/ELT, data warehousing (fact/dimension tables, normalization) - Git, data quality validation, and exposure to databases (PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake) - Understanding of batch vs. streaming data processing Requirements: - Exposure to any cloud platform (AWS, GCP, or Azure) - Apache Spark / PySpark basics, Airflow, Docker, data governance basics