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Platform Engineer - Cloud

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 Platform Engineer – Cloud at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions.

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:

  • Programming Languages: Python, PySpark, SQL, Shell scripting
  • Big Data Tools: Hadoop, Hive, HDFS, Sqoop, Oozie, Delta Lake
  • Cloud Platforms: AWS (S3, RDS, EC2), Snowflake, Databricks
  • DevOps Tools: GitLab, Jenkins, CI/CD pipelines
  • Data Warehousing & Integration: Redshift, MongoDB, Glue, Kafka
  • Design and develop scalable data pipelines using PySpark for structured and unstructured data
  • Build and maintain ETL/ELT processes to extract, transform, and load data from various sources
  • Optimize Spark jobs for performance and resource utilization
  • Collaborate with data engineers, data scientists, and business stakeholders to meet analytics and reporting needs
  • Ensure data quality, security, and compliance throughout the data lifecycle
  • Support integration with GitLab pipelines and Grafana monitoring for compliance and operational visibility
  • Contribute to resolving delivery blockers such as schema evolution and development environment limitations

Nice to have:

  • Bachelor’s degree in computer science, Engineering, or related field
  • Experience in data engineering or big data development
  • Certifications such as AWS Solutions Architect or Databricks Spark Developer are highly valued
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
January 09, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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