Senior Azure Data Engineer

Honeybee Tech Solutions; Pune District; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Honeybee Tech Solutions is seeking an Azure Data Engineer for our client Atlas Copco in Pune. The role is hybrid and contractual, requiring 5-7 years of relevant experience.

You will design and deploy scalable data solutions on Azure, build ETL/ELT pipelines, and collaborate with cross-functional teams to meet data requirements while ensuring quality, governance, and security.

Qualifications

• 5-7 years of experience in Azure data engineering.
• Strong SQL, Python, and PySpark knowledge.
• Experience with data warehouse and data lake concepts.

Responsibilities

• Develop and deploy scalable data solutions on Azure.

Skills

Azure Data Engineering

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure Databricks

Azure SQL Database

Python PySpark

Advanced SQL

ETL / Data Integration

Data Warehouse

Data Lake

Snowflake

SAP BW

Data Modelling

Azure DevOps

Tools

Terraform

ARM Templates

Azure Monitor

Job description

Job Summary

Dear Candidate, Greetings from Honeybee Tech Solutions! We have an urgent requirement for an Azure Data Engineer with 5-7 years of relevant experience for our client Atlas Copco.

Position Details

• Role: Azure Data Engineer
• Client: Atlas Copco
• Experience: 5-7 Years
• Location: Pune
• Work Mode: Hybrid
• Employment Type: Contractual
• Interview Rounds: 2 Technical + HR
• Interview Mode: Virtual / Face-to-Face

Key Skills Required

• Azure Data Engineering
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Azure Databricks
• Azure SQL Database
• Python PySpark
• Advanced SQL
• ETL / Data Integration
• Data Warehouse Data Lake
• Snowflake / SAP BW
• Data Modelling
• Azure DevOps

Good to Have

• Logic Apps
• Azure Function Apps
• Stream Analytics
• Microsoft Purview
• Terraform / ARM Templates
• Azure Monitoring Alerting
• Machine Learning experience

Key Responsibilities

• Develop and deploy scalable data solutions on Azure.
• Build and maintain ETL/ELT data pipelines from multiple sources.
• Work with cross-functional teams to understand data requirements.
• Design and implement conceptual, logical, and physical data models.
• Ensure data quality, security, governance, and compliance.Optimize data pipelines and data models for performance.
• Maintain technical documentation for data pipelines and solutions.
• Work with Azure Data Factory, Databricks, Synapse, ADLS, and other Azure services.
• Support enterprise data strategy and analytics requirements.

Candidate Requirements

• Strong hands-on experience with Azure Data Services.
• Excellent knowledge of SQL, Python, and PySpark.
• Strong understanding of data warehouse and data lake concepts.
• Good communication and collaboration skills.
• Self-starter with strong problem-solving abilities.