*hackajob
is collaborating with
Barclays
to connect them with exceptional specialists for this role.*
Join us as a Support Data Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness technology to build recent strategic market data platform for the bank with real impact to the business.

To be successful as a Senior Data Engineer, you should have experience with:
AWS cloud services such as S3, Glue, Athena, Lake Formation, CloudFormation etc.
Python language on senior level for data engineering and automation purposes
Snowflake, ETL frameworks, data transformation and data quality tools

Some Other Highly Valued Skills May Include
AWS Data Engineer certification
Previous working experience within banking or financial services domain
Experience with IAM and Permissions management in AWS cloud
Experience with Databricks, Snowflake, Starburst, Iceberg

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 will be based in our Pune office.

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.
Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations
To contribute

📌 Data Engineering Lead Pune Division
🏢 hackajob
📍 Pune