Senior Data Engineer

2 days ago

Coimbatore, Tamil Nadu, India Steam-A Full time

This is a
long-term role (2–3 years)
, preferably based in
Pune
, though other offshore locations are acceptable.The candidate will
replace the incumbent onsite Data Engineer
.The team is small and currently managing multiple application integrations, so we require someone with:
Strong hands-on skills on Python / Scala (approximately 80%)
Remaining responsibilities include
collaboration with other teams and business stakeholders
. 
Responsibilities :

  • Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
  • Architects, designs, implements and maintains reliable and scalable data infrastructure to move, process and serve data.
  • 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.

Qualifications

  • BS degree in computer science or related field
  • Deep and hands-on experience (typically 7 to 12 years) designing, planning, building, 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. Python, Scala, Java, C#)
  • Hands on experience working on Databrick, Apache Spark,
  • Advanced database and SQL knowledge
  • Experience designing and implementing large-scale distributed data systems
  • Skillful in building and scaling infrastructure services using Amazon Web Services or Microsoft Azure
  • Deep knowledge and hands-on experience in technologies across all data lifecycle stages
  • Strong stakeholder management and ability to lead initiatives through technical influence
  • Continuous learning and improvement mindset

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