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Mid-level data integration role in Bangalore with common skills and broad requirements increases applicant competition.
Core data integration skills are transferable across industries, though supply-chain domain knowledge is preferred.
Explicit 4–6 year requirement plus mandatory Python, Airflow and domain skills enforces strict shortlisting.
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Develop, maintain, and stabilize automated data pipelines in Python processing millions of data points.
Lead technical design translating complex customer requirements into architecture and code.
Mentor and lead junior engineers, manage code reviews and production releases, and engage in client workshops for technical consulting.
4-6 years of experience as Data Engineer or Data Integration Engineer with team delivery or technical coordination experience.
Proficiency in Python and data libraries (Pandas, NumPy); experience with APIs, Airflow, JSON, XML, CSV, EDI files.
Strong foundation in CS fundamentals: coding best practices, OOP, data structures, relational/non-relational databases.
Location requirement: Bangalore, India with 4 days per week onsite work.
Experienced hands-on engineer comfortable both in coding and high-level system design with client interaction.
Able to lead and mentor junior engineers and manage technical delivery effectively.
Demonstrated ability to bridge engineering and client-facing technical advisory roles in a data integration context.