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Tier-1 bank, popular Data Engineer role, metro Pune location, broad skills increase applicant competition.
Core data engineering skills are highly transferable across industries, so background sensitivity is low.
Explicit 7–10 years plus required Python, ETL, PL/SQL and data warehousing skills raises filtering strictness.
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Design, develop, and maintain ETL processes and data pipelines using Python, PL/SQL, and SQL.
Optimize ETL and data pipelines for performance and scalability to support data warehousing needs.
Collaborate with data analysts and stakeholders to ensure data accuracy, quality checks, and meet evolving data requirements.
7-10 years of work experience in data engineering or related fields.
Proficiency in Python, ETL tools, PL/SQL, and SQL.
Strong understanding of data warehousing concepts and data modeling.
Not explicitly mentioned in the JD: mandatory degree, notice period, or onsite location.
Experienced in handling end-to-end data pipeline development and optimization in large-scale environments.
skilled in advanced database management and data quality monitoring.
Familiar with AI methodologies such as chunking, embedding, AI engineering, and prompt engineering as relevant to data solutions.