Azure Data Engineer (Databricks)

Aspyra Hr Services; Bengaluru, Delhi, Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Aspyra Hr Services is hiring a Data Engineer specializing in Azure and Databricks. In this role, you will be tasked with designing scalable data pipelines and developing BI reporting solutions with tools like Power BI and Tableau.

The ideal candidate should have a strong background in Azure data services and ETL processes. This position offers a hybrid working model across India.

Qualifications

• Strong experience in Azure Databricks, PySpark, and SQL.
• Hands-on experience with Azure Data Factory and data services.
• Experience supporting Power BI or Tableau reporting environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build and optimize ETL/ELT workflows with PySpark and SQL.
• Collaborate with analytics, business, and engineering teams.

Skills

Azure Databricks

PySpark

SQL

Power BI

Tableau

Tools

Azure Data Factory

Data Lake

Synapse

Job description

Job Title: Data Engineer Azure Databricks

Location: Pan India / Hybrid
Experience: 410 Years

Mandatory Skills: Azure, Azure Databricks & BI Tool (Power BI/Tableau)

Job Summary

We are looking for a Data Engineer with strong hands-on experience in Azure data services and Databricks to build scalable data pipelines and enable analytics solutions. The role involves designing modern data platforms and supporting BI reporting using tools like Power BI or Tableau.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks
• Build and optimize ETL/ELT workflows using PySpark, SQL
• Work with Azure data services such as Azure Data Factory, ADLS, Synapse
• Develop data models and curated datasets for BI reporting
• Enable dashboards and reporting using Power BI / Tableau
• Ensure data quality, performance optimization, and governance standards
• Collaborate with analytics, business, and engineering teams

Required Skills

• Strong experience in Azure Databricks, PySpark, SQL
• Hands‑on experience with Azure Data Factory, Data Lake, Synapse
• Experience supporting Power BI or Tableau reporting environments
• Understanding of data warehousing concepts and dimensional modeling
• Experience in performance tuning and pipeline optimization
• Good problem‑solving and stakeholder communication skills

Preferred Skills

• Experience with Delta Lake, Lakehouse architecture
• Knowledge of Python and workflow orchestration
• Exposure to cloud security and data governance
• Experience in analytics or enterprise data platforms