Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 bank, mid-level Big Data role in Pune with common Python/ETL skills drives high competition.
Technical data engineering skills transferable, but Ab Initio and banking domain preference increase domain sensitivity.
Explicit 4–8 years and mandatory Python, ETL, and Big Data skills create high shortlisting strictness.
Lead design and maintenance of enterprise-scale Python automation frameworks for testing, validation, reconciliation, and operational automation.
Drive testing and validation activities for ETL and large-scale data processing applications across Banking and Financial Services platforms.
Collaborate with business users, developers, and Agile teams, managing defect resolution, production support, and mentoring junior staff on automation quality practices.
Strong hands-on expertise in Python scripting and automation framework development.
Experience with ETL testing, validation, and enterprise data platforms; ETL Certification preferred.
Proficiency in SQL and Oracle databases; Unix/Linux and shell scripting experience required.
Work Experience Required: 4-8 years of relevant experience in Python, ETL, and data engineering domains.
Experienced in large-scale data processing and high-volume transaction systems, preferably in Banking and Financial Services domain.
Skilled in Agile methodologies with direct exposure to Scrum teams, stakeholder engagement, and tools like JIRA and Confluence.
Technically adept in automation-first quality engineering, with exposure to Ab Initio, Big Data platforms, and emerging data technologies (e.g., PySpark, Databricks) a strong plus.