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Senior Data Engineer

Azoca Technologies

6 - 10 years

Pune

Posted: 08/01/2026

Job Description

Role Summary

We are seeking an experienced Senior Azure Data Engineer to design and implement robust data solutions on Azure. The role involves building scalable ETL/ELT pipelines, working with big-data processing frameworks, and collaborating with architects to deliver cloud-based data warehouse solutions. The ideal candidate will have strong hands-on expertise in Azure data services and modern data engineering practices.


Key Responsibilities

  • Design and develop scalable ETL/ELT pipelines using Azure Data Factory and Azure Synapse Pipelines
  • Implement error handling mechanisms and optimize pipeline performance by identifying and resolving bottlenecks
  • Work with Azure Databricks (PySpark), Azure Data Lake Storage (ADLS Gen 2), Azure Synapse, and Microsoft Fabric
  • Collaborate with architects to design and implement Cloud Data Warehouse solutions
  • Develop reporting framework layers for Power BI and Tableau
  • Apply big-data processing approaches and schema-on-read methodologies
  • Write efficient code in Python (PySpark) and SQL for data transformation and processing


Required Skills

  • 6-10 years of hands-on experience with Azure data services
  • Strong expertise in Azure Data Factory, Azure Databricks (PySpark), ADLS Gen 2, Azure Synapse, and Microsoft Fabric
  • Proficiency in Python (PySpark) and SQL
  • Experience designing and implementing ETL/ELT pipelines with error handling and performance tuning
  • Knowledge of Cloud Data Warehouse design and implementation
  • Understanding of big-data processing and schema-on-read methodologies
  • Experience designing reporting frameworks for BI tools


Good-to-have Skills

  • Power BI DAX development experience
  • Exposure to Tableau
  • Performance optimization and troubleshooting skills


Additional Information

  • Shift Timings: 11:00 AM to 8:00 PM IST (Candidate must be flexible for 4-hour overlap with US hours)
  • Work Mode: Hybrid 2-3 days per week from Pune office
  • Project Duration: 6 months (Contract to Hire)
  • Immediate to 5 weeks notice period preferred

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