Data Engineer - Microsoft Fabric

Samsung Electronics • SQL • Power BI • Tableau • ETL/ELT • 7 days ago
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Salary
≈ $27k – $53k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 6+ years exp
Overview
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Samsung Electronics

Samsung Electronics (a core subsidiary of South Korea's largest conglomerate, Samsung Group) is a global leader in consumer electronics, semiconductors, and telecommunications equipment. Headquartered in Suwon, South Korea, the company manufactures popular Galaxy smartphones, smart TVs, home appliances, memory chips (DRAM and NAND flash), and advanced semiconductor components. Through ongoing investment in mobile AI, display technology, and chip fabrication, Samsung serves as a central pillar of the worldwide technology supply chain.
samsung.com • HQ: Suwon, South Korea • Hardware • Semiconductors • Electronic Components • Smartphones • Consumer Electronics • Est. 1973

We are looking for an experienced Data Engineer / Microsoft Fabric professional with strong expertise in data engineering, analytics, and enterprise reporting.

Responsibilities:

  • Design and develop scalable data pipelines, ETL/ELT workflows, and data models.
  • Work extensively on Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, and Semantic Models.
  • Develop and optimize SQL queries, datasets, semantic models, and Power BI reports.
  • Implement data modelling, dimensional modelling, Medallion Architecture, and Lakehouse patterns.
  • Perform data ingestion, transformation, validation, testing, and production support.
  • Create source-to-target mappings, data flow diagrams, and technical documentation.
  • Collaborate with business stakeholders and technical teams to understand requirements and deliver analytical solutions.
  • Optimize pipelines and reports for performance, scalability, and reliability.

Requirements:

  • 6+ years of experience in data engineering/BI/analytics.
  • Strong hands-on Microsoft Fabric experience.
  • Must-have skills: Power BI and Advanced SQL, ETL/ELT, Data Pipelines and Data Modelling, Lakehouse / Data Warehouse architecture.
  • Knowledge of Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks.
  • Strong analytical, problem-solving, and communication skills.
  • Good to have: SAP data / SAP data structures, HANA modelling, SAP BusinessObjects, Tableau, and enterprise reporting experience.
  • Experience working with global / cross-functional teams.
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