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Data Engineer - SQL, Snowflake

barclays.co.uk Logo

Barclays

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Location:
India , Pune

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Join us as a Data Engineer - SQL, Snowflake at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. 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.

Job Responsibility:

  • 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

Requirements:

  • SQL – Advanced query writing and performance tuning
  • Teradata – Experience with enterprise data warehousing
  • PySpark – Proficiency in distributed data processing
  • Hadoop – Familiarity with big data tools and architecture
  • Linux Shell Scripting – Strong scripting skills for automation and data handling
  • AWS Awareness – Understanding of cloud-based data platforms and services
  • Prior Exposure to AWS – Experience with data migration or analytics on AWS is a strong plus

Nice to have:

  • AWS Awareness – Understanding of cloud-based data platforms and services
  • Prior Exposure to AWS – Experience with data migration or analytics on AWS is a strong plus
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
December 28, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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