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Popular mid-level data role, metro Bangalore location, and generalist skillset increases candidate competition.
Core data engineering skills are broadly transferable across industries despite preferred supply‑chain experience.
Explicit 4–6 years requirement plus mandatory Python, Airflow, and integration skills raises filter strictness.
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Develop and maintain high-volume automated data pipelines using Python.
Translate customer requirements into technical designs and implement corresponding code.
Mentor junior engineers and collaborate with clients on technical workshops and design, evolving into a strategic technical consulting role.
4–6 years of experience as a Data Engineer or Data Integration Engineer with team delivery or technical coordination experience.
Advanced proficiency in Python and data libraries (Pandas, NumPy), and hands-on experience with APIs, Airflow, JSON/XML, CSV, EDI.
Strong foundation in coding best practices, OOP principles, data structures, and relational/non-relational databases.
Position based in Bangalore with requirement to work from office 4 days per week; CV must be submitted in English.
Experienced in both hands-on engineering and technical leadership in data integration projects.
Comfortable interfacing with clients to map technical requirements and resolve complex integration issues.
Skilled in leveraging automation and AI-driven tools alongside collaborative stakeholders to optimize delivery outcomes.