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Job Description
Structured overview of role & requirementsAbout This Role
Lead the design, development, and maintenance of enterprise-scale automation frameworks and reusable Python utilities for testing, validation, and operational automation.
Drive testing and validation activities for ETL and large-volume data processing applications, including defect management and root cause analysis.
Collaborate closely with business users, SMEs, development teams, and Scrum teams to ensure quality delivery of enterprise banking and financial services data solutions.
Minimum Requirements
Strong hands-on expertise in Python scripting and automation development with experience designing automation frameworks.
Experience with ETL testing and validation and supporting enterprise data integration platforms; ETL certification preferred but not mandatory.
Strong SQL and Oracle database skills with proven data validation, reconciliation, and data quality experience.
Experience with Unix/Linux and Shell scripting in batch-processing environments; Exposure to Big Data platforms and high-volume transaction systems preferred.
Work Experience Required: 4-8 years relevant experience.
Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in automation framework development with proven ability to create scalable validation tools for large datasets in banking/financial services contexts.
Familiar with Agile delivery practices and stakeholder engagement involving business users, SMEs, and product owners within enterprise data platforms.
Comfortable working with ETL technologies, Ab Initio, Big Data ecosystems (Hadoop, Hive, Databricks), and capable of mentoring junior team members on automation-first quality practices.