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Tier-1 brand, popular mid-level ETL/data role, metro location, and broad skill requirements increase competition.
ETL and data engineering skills (Python, Spark, SQL, Hadoop) are highly transferable across industries.
Explicit 2-5 years plus a broad technical stack and platform requirements create moderate filtering of candidates.
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Participate in establishing and implementing new or revised application systems and programs, focusing on application systems analysis and programming.
Utilize programming knowledge to identify system enhancements, analyze code, consult stakeholders, and recommend programming solutions.
Serve as SME to senior stakeholders, coach junior analysts, assess risks, and ensure compliance with policies and regulations.
2-5 years of relevant experience in Applications Development within Financial Services.
Bachelor’s degree or equivalent experience.
Proficiency in programming languages and application development concepts; experience with ETL tools and data engineering technologies is recommended.
Work Experience Required: 2-5 years in Applications Development role.
Experienced in scalable data pipeline design using Python/PySpark and ETL tools like Microsoft BI/SSIS or IBM DataStage.
Skilled in RDBMS (T-SQL/PL/SQL), NoSQL databases, and Big Data platforms such as Hadoop ecosystem (HDFS, Hive, Pig, Sqoop).
Able to contribute to data architecture, enforce coding standards, implement DevOps automation (CI/CD, Git, Docker/Kubernetes), and utilize AI tools for code optimization.