Mercedes-Benz Research and Development India Private Limited | Hiring | Data Engineer – Sales | BigDataKB.com | 1/12/2022

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Mercedes-Benz Research and Development India Private Limited

Bangalore

Vehicle Dealership

Aufgaben

  • Work with Business & IT teams to gather, understand and define requirements and break down Demands into EPICS and User Stories, where needed.
  • Design and build end-to-end CI/CD data pipelines to get the relevant data and for the deliverables
  • Reviewing design, code and other deliverables created by your team to guarantee high-quality results
  • Define acceptance criteria, manage & perform testing of own pipelines to ensure expected quality
  • Own the status of Change requirements throughout the lifecycle & adapt changes to the existing scripts, codes and pipelines.
  • Own PoCs and deliver the results in reasonable time
  • Ensuring appropriate use of MB IT project management tools, governance, processes, policies and methodologies
  • Share required data for regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in view
  • Bring value adds by contributing to continuous improvement and innovation, encourage best practices, challenge current practices, provide feedback to colleagues
  • Presents user stories in demand concept meetings together with respective stakeholders
  • Align with architects if and as needed
  • Detect dependencies to other systems/demands
  • Conduct regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in view
  • Create / Propose Demand Management baselines as and when required.

Qualifikationen

  • Total 8-10 Years of Experience with minimum 4 years of experience in data engineering & analytics.
  • Bachelor’s Degree in computer science or equivalent
  • Expertise in Azure and Azure Data Factory, Storage accounts and Notebooks
  • Good experience with DWH, ETL/ELT process, hands-on expertise ETL tools, relational DB or MPP
  • Expertise in Python, structured query language, PL/SQL, query tuning and performance tuning
  • Good knowledge in DevOps, CI/CD including deploying a range of data engineering pipelines into production, and testing techniques
  • Expertise in Big Data technologies such as Apache Spark, Hadoop ecosystem, Apache Kafka, NoSQL databases, etc.
  • Good knowledge of data architecture patterns (Data lakehouse, delta lake, streaming, Lambda/Kappa architecture)
  • Agile development experience
  • Experienced in Powershell scripting for orchestration

Apply Here

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