Design, build, and maintain scalable ETL/ELT pipelines for large data volumes.
Develop data storage solutions — data lakes and data warehouses — for efficient access.
Integrate structured and unstructured data into a unified analytics view.
Ensure data accuracy and quality via validation, cleansing, and transformation.
Maintain documentation for data processes, tools, and systems.
Support client-facing data visualization and AI-assisted data workflows.

🎯 Requirements

Bachelors degree in Computer Science, Engineering, or related field.
3+ years of experience as a Data Engineer.
Strong Python proficiency.
Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB).
Hands-on Tableau - dashboards, data sources, and performance optimization.
Familiarity with data warehousing and lakehouse principles; Databricks, Spark, PySpark, and pandas.

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