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Data Engineer @ Puresoftware

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 Data Engineer

Job Description

Key Responsibilities:
  • Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Scala, SQL).
  • Implement ETL/ELT workflows for large-scale data integration across cloud and on-premise environments.
  • Leverage Microsoft Fabric (Data Factory, OneLake, Lakehouse, DirectLake, etc.) to build unified data solutions.
  • Collaborate with data architects, analysts, and stakeholders to deliver business-critical data models and pipelines.
  • Monitor and troubleshoot performance issues in data pipelines.
  • Ensure data governance, quality, and security across all data assets.
  • Work with Delta Lake, Unity Catalog, and other modern data lakehouse components.
  • Automate and orchestrate workflows using Azure Data Factory, Databricks Workflows, or Microsoft Fabric pipelines.
  • Participate in code reviews, CI/CD practices, and agile ceremonies.
Required Skills:
  • 5-7 years of experience in data engineering, with strong exposure to Databricks .
  • Proficient in PySpark, SQL, and performance tuning of Spark jobs.
  • Hands-on experience with Microsoft Fabric components .
  • Experience with Azure Synapse, Data Factory, and Azure Data Lake.
  • Understanding of Lakehouse architecture and modern data mesh principles.
  • Familiarity with Power BI integration and semantic modeling (preferred).
  • Knowledge of DevOps, CI/CD for data pipelines (e.g., using GitHub Actions, Azure DevOps).
  • Excellent problem-solving, communication, and collaboration skills.

Job Classification

Industry: Management Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Puresoftware
Location(s): Bengaluru

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Keyskills:   Performance tuning github Architecture spark devops Agile data governance power bi microsoft SQL

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Puresoftware

PureSoftware Ltd