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Key skills for this role
Join us as a Data Engineer-VP at Barclays where you will Lead the design, development, and modernization of enterprise data platforms, with a strong focus on Ab Initio, Hadoop ecosystem, and AWS cloud technologies.
Responsible for building scalable data solutions, driving migration of on-premise data processing workloads to AWS, defining target-state architecture and migration roadmaps, and ensuring secure, reliable, and high-quality data delivery.
Collaborate with business, architecture, and engineering teams to deliver strategic data transformation initiatives while promoting engineering best practices, automation, and cloud adoption.
To be successful as a Data Engineer – VP, you should have experience with:
Strong Ab Initio development expertise (GDE, EME, Conduct>It, Continuous Flows, Metadata Hub)
Hadoop ecosystem technologies (Hive, Spark, HDFS, Impala, Oozie, Sqoop, Kafka)
AWS Cloud Data Services (Glue, EMR, Athena, S3, Lambda, Redshift, Iceberg)
DevOps & CI/CD (GitLab, Jenkins, Infrastructure as Code, automated deployments)
Stakeholder & Delivery Leadership (leading data transformation initiatives, regulatory data delivery, mentoring teams, and collaborating with business, architecture and engineering stakeholders)
Some other highly valued skills may include:
Python, SQL and Spark for large-scale data engineering and automation
Data Architecture,Data Governance, Data Quality, and Metadata Management
Data Governance & Data Quality Management (Metadata, Data Lineage, Data Controls, Data Stewardship, Data Mesh)
AI & Advanced Analytics (Machine Learning, Generative AI, Prompt Engineering)
Financial Services & Risk Domain Knowledge (Credit Risk, Basel, IFRS9, Regulatory Reporting, Data Controls)
You may be assessed on 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.
The role is 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.
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All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right.
They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Barclays is a British multinational universal bank offering consumer banking, corporate banking, investment banking, and wealth management services to over 48 million customers worldwide.
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