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Tier-1 consulting brand, mid-level generalist data engineering role in a metro attracts many qualified applicants.
Role targets financial services data pipelines so domain experience matters though PySpark/SQL skills are transferable.
Explicit 5–7 years plus mandatory PySpark, Python, SQL, and production data engineering skills.
Design, develop, test, and maintain high-performance data-processing pipelines using Python, PySpark, and SQL.
Optimize complex SQL queries, analytical UDFs, and window functions for data aggregation and reporting.
Maintain CI/CD pipelines and troubleshoot production issues related to performance, memory, and failures.
5 to 7 years of experience as a Python Developer with Spark.
Strong hands-on experience in Python (including NumPy, pandas, RESTful APIs), PySpark (DataFrames, Spark SQL, Structured Streaming, performance tuning), and advanced SQL (complex queries, stored procedures, query optimization).
Bachelor’s degree or equivalent.
Location requirement: Chennai.
Experienced in Agile methodologies such as Scrum/Kanban and DevOps tools like Jenkins, Bitbucket, Maven.
Able to collaborate closely with data architects, data scientists, and business analysts to translate requirements into technical solutions.
Capable of mentoring junior engineers and championing best practices in Python coding and Spark optimization.