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data engineering · healthcare claims auditing

Azure Data Engineer

Mumbai · Delhi NCR · HybridPosted 3 months ago
DataMid-level
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Job Info

  • Job Identification12498
  • Posting Date04/08/2026, 03:39 AM
  • Job RoleData Engineering-Cloud Data Engineering
  • Experience (In Years)3-6
  • Job LocationPune, India

Job Description

Key Responsibilities

  • Design, build, and maintain data pipelines using Azure services
  • Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools)
  • Implement ETL/ELT processes for ingesting and transforming data from multiple sources
  • Design and manage data models to support reporting and analytics
  • Work with structured and unstructured datasets in a data lake environment
  • Ensure data quality, integrity, and consistency across pipelines
  • Optimize performance of queries, pipelines, and storage
  • Collaborate with data analysts, data scientists, and business stakeholders
  • Support deployment, testing, and monitoring of data solutions
  • Maintain documentation for data processes and architectures

Responsibilities

Required Skills & Experience

  • Strong hands-on experience with Microsoft Azure data services
  • Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)
  • Proficiency in SQL and Python
  • Experience with data warehousing concepts and dimensional modeling
  • Experience with ETL/ELT design and implementation
  • Familiarity with Azure Data Lake Storage (ADLS)
  • Understanding of distributed data processing (e.g., Spark)
  • Experience with version control and CI/CD practices (Azure DevOps preferred)

Soft Skills

  • Strong analytical and problem-solving abilities
  • Good communication and stakeholder interaction skills
  • Ability to work independently and within a team
  • Attention to detail and focus on quality

Qualifications

Preferred Qualifications

  • 6+ years of experience in Data Engineering.
  • Experience with Delta Lake or similar technologies
  • Exposure to Azure Data Factory
  • Knowledge of performance tuning and query optimization
  • Understanding of data governance and security best practices in Azure

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