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Strong brand, metro location, and mid-level popular data engineering role increase applicant competition.
PySpark and data engineering skills are broadly transferable across industries.
Explicit 3–8 year range plus mandatory PySpark/Python/Hadoop skills make technical filters strict.
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Design and develop Python-based data pipelines and data transformation solutions using PySpark and Spark SQL/Streaming.
Build data infrastructure enabling efficient processing and analysis within data engineering projects.
Contribute to implementing robust data solutions that transform raw data into actionable business insights.
3 to 8 years of relevant work experience in data engineering or similar roles.
Proficiency in PySpark, Python 3.x, and Hadoop is mandatory.
Educational qualifications: Bachelor’s degree (BE, B.Tech) or Master’s degree (MCA, M.Tech).
Work Experience Required: 3 to 8 years
Experienced in developing scalable data pipelines and real-time streaming applications using PySpark and Spark SQL.
Comfortable working with big data frameworks and ecosystems including Hadoop and Spark.
Able to design and build Python-based code generation frameworks and runtime engines relevant to data engineering tasks.