Azure Data Engineer

Job Summary

We are seeking an Azure Data Engineer with 7+ years of experience in Azure Data Factory, Databricks, SQL Server, Power BI, SSIS, SSRS, and ETL/ELT pipeline development. The ideal candidate will build scalable data pipelines, support business intelligence solutions, and deliver high-quality analytics on Azure platforms.

Skills

  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Azure SQL
  • Azure Synapse
  • Databricks
  • PySpark
  • SQL Server
  • ETL/ELT Pipelines
  • Power BI
  • DAX
  • SSIS
  • SSRS
  • Informatica
  • Python
  • Data Modeling
  • Data Validation
  • Performance Tuning
  • Agile
  • DevOps / DataOps
  • Snowflake (Preferred)
  • Healthcare Domain (Preferred)

Responsibilities

  • Design and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, SSIS, or Informatica.
  • Develop and optimize SQL queries, views, and stored procedures.
  • Build and maintain Power BI dashboards and data models.
  • Develop SSRS reports for operational and business reporting.
  • Ingest data from multiple sources and file formats.
  • Perform data validation, reconciliation, and performance tuning.
  • Follow Agile, DevOps, and DataOps best practices.
  • Ensure data quality, security, and compliance standards.

Recruiter Contact

Recruiter: Eshwar S.
Designation: Senior Recruiter
Company: Arkhya Tech

To apply for this job email your details to eshwar.s@arkhyatech.com