Delivery Lead/senior Data Engineer 3

Barclays

Pune, India
Aws data platforms glue lambda s3 redshift athena databricks
Snowflake architecture design and workload optimization
Python pyspark sql performance optimization
The role focuses on building and maintaining systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security within a complex regulated environment

Job Summary

  • The role focuses on building and maintaining systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security within a complex regulated environment.
  • As a Delivery Lead/Senior Data Engineer 3, you will define data architecture standards, guide technical direction, and manage risks while collaborating with data scientists to deploy machine learning models.
  • You are expected to demonstrate Barclays values of Respect, Integrity, Service, Excellence, and Stewardship while driving continuous improvements and managing budgets and schedules for the department.

Matching Summary

The role focuses on building and maintaining systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security within a complex regulated environment.

Skills & Requirements

Must-have

  • AWS data platforms Glue Lambda S3 Redshift Athena Databricks
  • Snowflake architecture design and workload optimization
  • Python PySpark SQL performance optimization
  • DevOps CI/CD strategies Jenkins GitLab
  • Cloud security IAM data access controls Immuta
  • Data modelling dimensional modelling schema evolution
  • Enterprise-scale data platform leadership experience

Nice-to-have

  • Real-time event-driven architectures Apache Kafka Spark Streaming
  • DBT analytics engineering practices for scalable transformation
  • Machine learning model training and feature pipelines
  • Regulatory risk-controlled financial services environments
  • Strategic thinking and business acumen
  • Influencing architectural investment decisions with senior leadership

Key Requirements

  • Proven leadership experience delivering enterprise-scale data platforms
  • Deep expertise in cloud data architecture and distributed computing
  • Advanced proficiency in Python, PySpark, and SQL
  • Experience leading DevOps and CI/CD strategies
  • Strong understanding of cloud security and data governance
  • Ability to communicate complex technical concepts to senior leadership
  • Experience operating in regulatory or large financial services environments

Work Rights

Not specified

Tailored Resume

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