Data Engineer

2 weeks ago

Mumbai, India Sia Partners Full time

Job Description - Develop and optimize robust, scalable data pipelines using PySpark and Python - Clean, transform, and enrich large-scale datasets from structured and unstructured sources - Implement data ingestion, ETL/ELT workflows, and integration strategies across cloud and on-prem platforms - Collaborate with data scientists, analysts, and business stakeholders to understand data requirements - Ensure data quality, integrity, and lineage throughout the data lifecycle - Participate in performance tuning, troubleshooting, and production support - Contribute to best practices in data engineering, including code versioning, testing, and CI/CD Required Qualifications: - Bachelor s degree in Computer Science, Data Engineering, or related field - 3+ years of experience in data engineering with a focus on PySpark and Python - Strong hands-on experience with distributed data processing frameworks (e.g., Apache Spark) - Solid understanding of SQL, data modeling, and relational databases - Experience working with cloud platforms (e.g., AWS, Azure, GCP) - Familiarity with workflow orchestration tools (e.g., Airflow, Azure Data Factory) Preferred Qualifications: - Java experience for supporting hybrid data platforms and legacy integrations - Exposure to data lakes, delta lakes, and modern data architectures - Knowledge of containerization (Docker), Kubernetes, and CI/CD pipelines - Familiarity with data governance, security, and compliance frameworks

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