Job Description
Join us as a Data Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences.
To be successful as a Data Engineer you should have experience with:
- ETL Tools: Proficiency in Ab Initio (GDE, EME, Co>Operating System) for graph development, debugging, and performance tuning.
- Unix/Linux Scripting: Ability to write and debug shell scripts for job orchestration.
- SQL & PL/SQL: Querying skills for data extraction, transformation, and validation.
- Scheduling Tools: Familiarity with Tivoli Workload Scheduler (TWS) or similar.
- Testing & QA: Exposure to SIT, E2E, and OAT testing cycles.
- Agile Delivery: Experience with JIRA for sprint planning, backlog grooming, and delivery tracking.
- Design and implement scalable ETL solutions for real-time and batch data processing.
- Should be able to write test cases and execute testing scenarios.
- Collaborate with architects, analysts, and QA teams to ensure data quality and system stability.
- Participate in code reviews, peer testing, and production deployments.
- Maintain documentation and support audit and compliance requirements.
- Contribute to continuous improvement initiatives and automation efforts.
Some Other Highly Valued Skills May Include
- Document Databases: Working knowledge of MongoDB or any other document databases.
- Messaging Systems: Experience with IBM MQ, Apache Kafka, or similar message queue technologies.
- Security & Compliance: Awareness of access control, vulnerability assessments, and audit readiness.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking an
📌 Data Engineer (Pune)
🏢 Barclays
📍 Pune