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Data Engineer

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 134512BR
  • Experience level Entry
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Job summary

Digital Customers & Markets (DCM) works with customers & products (C&P), gas & low carbon energy (G&LCE), trading & shipping (T&S) and regions, cities & solutions (RC&S), and focus on enabling and delivering amazing customer experiences that generate value for bp in current and new markets.
DCM Intelligent operations (IO) bridges the gap between bp’s physical and digital worlds to release value and enable world-class operations through deployment of new and emerging digital solutions. Our SMEs and partners work closely with our business units to ensure safe, efficient, and optimized operations and great customer experiences.
At DCM IO we have embarked on a very exciting journey with a pipeline of leading-edge programmes of work in the field of automation, Internet of Things (IoT) and Edge Vision to name a few. We are building platforms for the future and products focused on these technologies and more. We plan to build a Centre Of Excellence (COE) in Pune that will build and house essential digital capabilities, innovative solutions, toolsets required to deliver products for our customers thereby driving bp’s digital agenda.

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

  • 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
  • Creating Data Mappings and Pipelining technical documentations
Testing new / changes to functionalities , creating test cases

Years of experience: 2 to 3 years relevant experience

Required Criteria
  • Experience developing, 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 of working in a cloud environment – AWS / Azure
  • Good data modeling and dimensional modeling knowledge
  • Good SQL knowledge
  • Knowledge and preferably hands-on experience in technologies across all data lifecycle stages
  • Knowledge of working in relational and non-relational data bases
  • Experience using Azure DevOps, GitHub
  • Experience of Agile Development/Delivery methodologies
Continuous learning and improvement mindset

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