1 month ago
Pune, IndiaStaff+
Responsibilities
- Lead the design, development, and modernization of enterprise data platforms.
- Build and maintain scalable data architectures, pipelines, warehouses, and data lakes.
- Migrate on-premise data processing workloads to AWS and define target-state architectures and migration roadmaps.
- Develop secure, reliable, complete, consistent, and high-quality data delivery solutions.
- Use Ab Initio, Hadoop ecosystem technologies, and AWS cloud data services for large-scale data engineering.
- Drive data transformation initiatives, regulatory data delivery, automation, cloud adoption, and engineering best practices.
- Collaborate with business, architecture, and engineering stakeholders and advise senior leadership on strategic and cross-functional impacts.
- Lead or contribute to data governance, data quality, metadata management, lineage, controls, and data stewardship.
- Mentor and guide less experienced specialists and, where applicable, define team responsibilities and support performance management.
- Manage risks and strengthen controls related to the team’s work.
Requirements
- Strong Ab Initio development expertise, including GDE, EME, Conduct>It, Continuous Flows, and Metadata Hub.
- Experience with Hadoop ecosystem technologies including Hive, Spark, HDFS, Impala, Oozie, Sqoop, and Kafka.
- Experience with AWS data services including Glue, EMR, Athena, S3, Lambda, Redshift, and Iceberg.
- Experience with GitLab, Jenkins, automated deployments, and infrastructure as code.
- Proficiency in Python, SQL, and Spark for large-scale data engineering and automation is valued.
- Knowledge of data architecture, data governance, data quality, metadata, data lineage, data controls, data stewardship, and data mesh is valued.
- Experience with machine learning, generative AI, or prompt engineering is valued.
- Financial services and risk domain knowledge, including Credit Risk, Basel, IFRS9, regulatory reporting, or data controls, is valued.
- Experience leading data transformation initiatives, regulatory data delivery, mentoring teams, and collaborating with business, architecture, and engineering stakeholders.
- Ability to provide strategic direction, perform complex analysis, manage risk, influence stakeholders, and guide multi-year assignments.
Benefits
- The role is based in Pune.
- The position offers either people-leadership responsibilities or individual-contributor subject-matter-expert leadership, depending on the position structure.
Tech Stack
Categories
Data Engineering
About Barclays
Barclays is a UK‑based universal bank that provides retail and commercial banking, credit cards (Barclaycard), wealth management, and investment banking to consumers, businesses, and institutions. Publicly listed in London and New York, it generates revenue from net interest income, fees, and markets activities, and operates across Europe, the Americas, the Middle East, and Asia. Founded in 1690 and headquartered in London, it serves customers through digital channels and a branch network.