Job Description
Responsibilities:
. Design, develop, and maintain data pipelines to ingest, transform, and serve data from multiple sources.
. Support batch and near-real-time data processing, ensuring data accuracy, freshness, and reliability.
. Assist in managing and optimizing data lakes, lakehouses, and data warehouses.
. Develop and optimize SQL and Python-based transformations for reporting and analytics.
. Implement basic data quality checks, logging, and monitoring.
. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
. Participate in code reviews, testing, documentation, and CI/CD processes.
. Continuously learn and adopt modern data engineering and AI-enabled data practices.
Key Technical Skills & Responsibilities
. Strong working knowledge of Python and SQL for data processing.
. Experience building ETL/ELT pipelin...