Position: Python Data Engineer
Location: Chennai
Working Type: WFO (Full time)
Resource Count: 1
Shift: UK Shift (2:00 – 11:00 PM)
Experience : 6+ years overall
Interviews: Assessment || 2 Interview rounds.
Key Responsibilities
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Design, develop, and maintain scalable, resilient data pipelines and ETL frameworks in cloud environments to support advanced analytics and AI/ML initiatives.
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Build optimized data processing solutions, database architectures, and reusable frameworks for large-scale data ingestion, transformation, and validation.
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Develop high-performance Python- and SQL-based solutions for complex data processing and analytical workloads.
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Collaborate with cross-functional teams to translate business requirements into scalable technical solutions and actionable insights.
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Ensure data quality, governance, reliability, and operational efficiency through robust testing, monitoring, and engineering best practices.
Technical Skills and Experience Requirements
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Minimum 6+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, distributed data pipelines.
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Strong proficiency in Python for large-scale distributed data processing.
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Advanced Python development experience including Python 3.x, OOP, asynchronous programming, performance optimization, Airflow orchestration, REST APIs, cloud SDK integrations (Azure), testing frameworks, and Python packaging/dependency management.
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Hands-on experience with Pandas, SQLAlchemy and PyODBC for data processing and database interactions.
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Expert-level ability to write complex, optimized queries on large-scale datasets.
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Experience with RDBMS and OLAP systems such as MySQL and Snowflake.
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Familiarity with Agile methodologies and architectural best practices for scalable data lake solutions.
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