Python Big Data Developer
Core
Design, develop, and maintain enterprise-scale automation frameworks and validation tools for large-volume data processing in Banking and Financial Services.
Role type
Senior IC Python Big Data Developer (Automation & ETL)
Builds
Scalable validation frameworks, reusable automation utilities, and data quality solutions for enterprise data platforms.
Domain
Banking and Financial Services / Data Engineering
Required skills
Python scripting, automation framework development, ETL testing and validation, SQL, Oracle database, Unix/Linux shell scripting, data reconciliation, data quality validation, Agile/Scrum methodologies, JIRA, Confluence
Preferred skills
Ab Initio, PySpark, Databricks, Apache Iceberg, Hadoop, Hive, UI Automation (Selenium), Banking domain experience, high-volume transaction processing systems
Technologies
Python, Ab Initio, PySpark, Databricks, Apache Iceberg, Hadoop, Hive, Oracle, Unix/Linux, JIRA, Confluence, Selenium
Responsibilities
Design and maintain enterprise-scale automation frameworks; Develop robust Python scripts for testing, validation, and operational automation; Lead testing and validation activities for ETL applications; Perform data analysis and quality validation across large datasets; Support Ab Initio and Big Data processing ecosystems; Develop and optimize SQL queries for data validation; Mentor junior team members and promote automation-first quality practices
Seniority
Senior, hands-on IC