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Senior Data Engineer

Senior Data Engineer

  • Location India - Maharashtra - Pune
  • Travel required Yes - up to 10%
  • Job category IT&S Group
  • Relocation available Yes - Domestic (In country) only
  • Job type Professionals
  • Job code 134466BR
  • Experience level Intermediate
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Job summary


Senior Data Engineer will be part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers, product owners and Portfolio managers.

Key Accountabilities:

  • Architects, designs, implements and maintains reliable and scalable data infrastructure.
  • Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data at bp.
  • Adheres to and advocates for software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation),
  • Responsible for deploying secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline,
  • Responsible for service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Design, build, deploy and maintain infrastructure as code. Containerizes server deployments.
  • Actively contributes to improve developer velocity.
  • Creating and code management of data pipelines and automation templates
  • Testing new / changes to functionalities , creating test cases
  • Designing data storage
Desirable Criteria:

Years of experience: 8 to 12 years with minimum of 5 to 7 years relevant experience
  • Deep and hands-on experience (typically 5+ years) designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
  • Development experience in one or more object-oriented programming languages (e.g. Py-spark, Python, Java, C++)
  • Experience designing and implementing large-scale distributed data pipelines on AWS/Azure cloud (preferably AWS)
  • Advanced data modeling and dimensional modeling knowledge
  • Advanced SQL knowledge
  • Deep knowledge and hands-on experience in technologies across all data lifecycle stages
  • Experience of working in relational and non-relational data bases
  • Experience using Azure DevOps , GitHub
  • Continuous learning and improvement mindset

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