Data Engineering Lead (Pune Division)

*hackajob is collaborating with Barclays to connect them with exceptional professionals 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 current 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 .