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Sr. Data Engineer

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Job Title: Sr. Data Engineer

Job Location: Pune(Onsite)

Job Type: Full-time

Job Description:

Maintain & develop data platforms based on Microsoft Fabric for Business Intelligence &Databricks for real-time data analytics

  • Design, implement and maintain standardized production-grade data pipelines using modern data transformation processes and workflows for SAP, MS Dynamics, on-premise or cloud.
  • Develop an enterprise-scale cloud-based Data Lake for business intelligence solutions.
  • Translate business and customer needs into data collection, preparation and processing requirements.
  • Optimize the performance of algorithms developed by Data Scientists
  • General administration and monitoring of the data platforms

Competencies:

  • working with structured & unstructured data• experienced in various database technologies (RDBMS, OLAP, Timeseries, etc.)
  • solid programming skills (Python, SQL, Scala is a plus)
  • experience in Microsoft Fabric (incl. Warehouse, Lakehouse, Data Factory, DataFlow Gen2,Semantic Model) and/or Databricks (Spark)
  • proficient in PowerBI
  • experienced working with APIs• proficient in security best practices
  • data centered Azure know-how is a plus (Storage, Networking, Security, Billing)

Education / experience / language:

  • Bachelor or Master degree in business informatics, computer science, or equal
  • A background in software engineering (e.g., agile programming, project organization) and experience with human centered design would be desirable
  • Extensive experience in handling large data sets
  • Experience working at least 5 years as a data engineer, preferably in an industrial company
  • Analytical problem-solving skills and the ability to assimilate complex information
  • Programming experience in modern data-oriented languages (SQL, Python)
  • Experience with Apache Spark and DevOps
  • Proven ability to synthesize complex data advanced technical skills related to data modelling, data mining, database design and performance tuning

Special requirements:

  • High quality mindset paired with strong customer orientation, critical thinking, and attention to detail
  • Understanding of data processing at scale• Influence without authority
  • Willingness to acquire additional system/technical knowledge as needed
  • Problem solver
  • Experience to work in an international organization and in multi-cultural teams
  • Proactive, creative and innovative

Job Type: Full-time

Work Location: In person

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