Join us as a 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 revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of the team, you will deliver technology stack, using solid analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.

To be successful as a Data Engineer you should have experience with:

Essential Skills
- Strong AWS Services, Glue, Lambda, S3, Athena skills
- ETL and Databases Concepts,
- Python and Pyspark experience is a must

Some Other Highly Valued Skills Include
- Experience with Git Hub , Data Modeling , Software Designing, Understand ETL tools such as Abinitio and ETL frameworks
- Strong communication skills and Private banking experience.





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 and digital and technology, as well as job-specific technical skills.

This role is based in 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.
- Collab

📌 Data Engineer (Pune Division)
🏢 Barclays
📍 Pune Division