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Mid-level, popular data engineering role in Hyderabad with broad required skills increases applicant competition.
Core data engineering skills are transferable across industries, though banking domain experience is advantageous.
Explicit 6–8 years plus mandatory Python and PySpark data engineering skills make shortlisting strict.
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Design, develop, test, and maintain scalable data pipelines using Python and PySpark for large and complex datasets.
Translate business requirements into technical data solutions, collaborating with business stakeholders and development teams throughout the delivery lifecycle.
Optimize data processing workflows, ensure data quality and validation, and support production data pipelines with troubleshooting and performance tuning.
6-8 years of work experience in data engineering or software development.
Strong hands-on expertise in Python and PySpark for data engineering.
Experience with ETL/ELT pipeline development and data processing of large datasets.
Location: Hyderabad, Telangana, India (on-site or local presence).
Experienced in collaborating with both business stakeholders and technical teams to align data solutions with business objectives.
Demonstrates expertise in optimizing PySpark jobs and maintaining high data quality and reliability in production environments.
Skilled in agile delivery processes and technical documentation, with the ability to manage multiple priorities in fast-paced settings.