Data Engineer
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The role demands a builder's mindset over a maintainer's. Independent contributors with clear, efficient communication thrive here.
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Candidates should have at least 3 years of professional experience in Data Engineering, demonstrated end-to-end ownership of ETL pipelines, deep hands-on experience with AWS services (EC2, Athena, Lambda, Step Functions), strong proficiency in MySQL, and working knowledge of Docker.
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Preferred skills include experience with orchestration tools such as Airflow or similar, hands-on with PySpark, familiarity with the Python data ecosystem (SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy), and exposure to DLT (Data Load Tool).
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In this role, you will be responsible for architecting, building, and optimizing scalable data pipelines and workflows. You will also manage AWS resources end-end, from configuration to optimization and debugging, and work closely with product and engineering to enable high-velocity business impact.
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You will automate and scale data processes - manual workflows are not part of the culture. You will build foundational data systems that drive critical business decisions.
Senior Data Architect • Thoothukudi, Tamil Nadu, India