Data Engineer (Pune)

Data Engineer (Pune)

20 Aug
|
Barclays
|
Pune

20 Aug

Barclays

Pune

Date live: 06/24/2026

Business Area: Trade and Working Capital

Area of Expertise: Technology

Contract: Permanent

Reference Code: JR-(phone hidden)

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.

To be successful as a Data Engineer, you should have experience with:
- Strong in Abinitio (GDE), Unix and Data warehousing concepts.
- Working experience in Linux/UNIX.
- Ability to understand source to target ETL mappings.
- Ability to design, develop and maintain Abinitio graphs.
- Ability to explain functional and technical details.
- Well versed in data integration, batch processing, and delta processing.
- Hands-on experience on UNIX shell scripts to automate routine task.
- Solid understanding on job schedulers.
- Hands-on experience on database.
- Analyse and trouble shoot issues.




- Knowledge of JIRA and Agile methodologies.

Some other highly valued skills may include:
- Experience with Abinitio GDE.
- Expertise with Linux/UNIX Shell scripting. Hands on experience with TWS Scheduling.
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

The role is based out of Pune.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that man

📌 Data Engineer (Pune)
🏢 Barclays
📍 Pune

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