Avp - Data Engineer (Pune)

Avp - Data Engineer (Pune)

19 Aug
|
Barclays
|
Pune

19 Aug

Barclays

Pune

Date live: 06/23/2026

Business Area: Markets Post Trade

Area of Expertise: Technology

Contract: Permanent

Reference Code: JR-(phone hidden)

Join us as a “AVP - Data Engineer " at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

You may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets.

To be successful as a “AVP - Data Engineer ", you should have experience with:
Basic/ Essential Qualifications:
- Experience with AWS or any public cloud platform
- Solid SQL proficiency and solid understanding of database concepts
- Proficiency in Core Java or Core Python
- Hands-on experience with Apache Spark or Databricks
- Familiarity with CI/CD pipelines and practices
- Experience in API development
- Minimum Qualification - bachelor’s degree.

Desirable skillsets/ good to have:




- Experience working with containerization technologies (e.g., Docker, Kubernetes)
- Knowledge of reporting and visualization tools such as Power BI, Looker, or similar
- Exposure to AI development tools (e.g., Claude or equivalent)

This role will be 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 manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaborat

📌 Avp - Data Engineer (Pune)
🏢 Barclays
📍 Pune

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