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Tier-1 brand, popular data engineer title, metro location, and broad skillset increase competition.
Core data engineering skills transfer across industries, though financial domain experience is moderately preferred.
Explicit 7-10 years requirement plus mandatory Python, PL/SQL, ETL and data warehousing skills.
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Design, develop, and maintain ETL processes and data pipelines for the data warehouse.
Write and optimize complex SQL and PL/SQL scripts for data manipulation and validation.
Collaborate with stakeholders to implement data quality checks and troubleshoot data issues.
7-10 years of relevant work experience in Python, ETL development, and PL/SQL.
Proficiency in Python programming and experience with ETL tools and libraries such as Pandas.
Strong knowledge of data warehousing, data modeling, and database management.
Work Experience Required: 7-10 years. Notice period: Not explicitly mentioned in the JD.
Experienced in designing scalable and performant ETL and data pipeline solutions within large data environments.
Skilled in advanced SQL and PL/SQL scripting to support complex data transformations and validations.
Capable of collaborating with data analysts and cross-functional teams to translate data requirements into technical solutions.