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Data Engineer with Fabric

2 weeks ago


Chennai Kochi Pune, India Anlage Infotech Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Notice Period-Immediate Joiner or Max 10 days (Do not share long notice period profile.)

Permanent Payroll - Anlage Infotech

Client - Orion Innovation

Location- Kochi, Chennai, Coimbatore, Pune - HYBRID (2/3 days in a week)

Role & responsibilities

Work Location: Kochi, Chennai, Coimbatore, Pune

Hybrid Mode

Mandate skills - Pyspark + Azure DataBricks + Azure Data Factory + MS Fabric

Experience- 5+ years

We are seeking a skilled and experienced Senior Data Engineer with a strong background in Azure Data Services,

particularly Azure Databricks, Azure Data Factory, PySpark and MS Fabric. The ideal candidate will be

responsible for designing, developing, and optimizing scalable data pipelines and solutions to support advanced

analytics, reporting, and business intelligence initiatives.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Azure Databricks, ADF, and PySpark.
  • Implement ETL/ELT workflows to process structured and unstructured data from diverse sources.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and

deliver clean, reliable datasets.

  • Optimize performance of data solutions, ensuring scalability and reliability in a cloud environment.
  • Implement data quality checks, data validation, and transformation logic.
  • Develop and manage CI/CD pipelines for data workflows using Azure DevOps or similar tools.
  • Monitor and troubleshoot data pipelines to ensure timely data availability.
  • Work with data governance, security, and compliance teams to enforce data policies and standards.

Required Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field.
  • 5+ years of hands-on experience in data engineering roles.
  • Strong expertise in:
  • Azure Databricks
  • Azure Data Factory
  • PySpark
  • Experience working with Azure Data Lake Storage (ADLS) and Delta Lake.
  • Strong SQL skills for data extraction and transformation.
  • Experience with version control tools like Git and CI/CD practices.
  • Familiarity with orchestration, monitoring, and alerting tools in Azure.
  • Understanding of data modelling and warehousing concepts.

Preferred Qualifications:

  • Experience with other Azure services such as Azure Synapse Analytics, Azure Functions, or Event Hubs.
  • Knowledge of Scala or Spark SQL.
  • Experience with Airflow or similar workflow orchestration tools.
  • Background in Big Data ecosystems and distributed computing.
  • Strong communication and stakeholder management skills.