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Azure Developer

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URGENT HIRING SENIOR DATA ENGINEER | AZURE DATA PLATFORM

Company: Honeybee Tech Solutions Pvt. Ltd.
Experience: 5 7 Years
Role: Senior Data Engineer – Azure Data Platform
Job Function: IT Software – Data Engineering / Cloud Data Platform
Role Type: Individual Contributor


Job Summary

We are looking for a skilled Senior Data Engineer with 4–7 years of hands-on experience in Azure Data Engineering to join our Azure Data Platform Team.

The ideal candidate should have strong expertise in Azure Data Services, Python, PySpark, SQL, ETL/ELT pipelines, and data warehouse design. The role involves building scalable data pipelines, integrating multiple data sources, optimizing data processing, and ensuring data quality, security, and governance.


Mandatory Skills

  • 4–7 years of relevant experience in Azure Data Engineering.
  • Strong hands-on experience with Microsoft Azure Data Services.
  • Azure Data Factory (ADF).
  • Azure Databricks and PySpark.
  • Python programming and advanced SQL.
  • Azure Data Lake Storage (ADLS).
  • Azure Synapse Analytics.
  • Azure SQL Database.
  • ETL/ELT pipeline development and data integration.
  • Data warehouse design, data modeling, data lakes, and big data concepts.
  • Database normalization, query optimization, and performance tuning.
  • Data quality, governance, privacy, and security.
  • Strong communication, analytical, and problem-solving skills.

Good-to-Have Skills

  • Azure Logic Apps and Azure Functions.
  • Azure Stream Analytics.
  • Microsoft Purview and data governance tools.
  • Snowflake or SAP BW.
  • Exposure to machine learning algorithms and model training.
  • Terraform and ARM Templates.
  • Azure DevOps.
  • Azure Monitoring and Alerting.

Key Responsibilities

  • Design, develop, deploy, and maintain scalable Azure-based data pipelines.
  • Build ETL/ELT workflows to integrate data from multiple sources.
  • Develop data transformation solutions using Python, PySpark, and SQL.
  • Work with ADF, Azure Databricks, ADLS, Azure Synapse Analytics, and Azure SQL Database.
  • Design and maintain conceptual, logical, and physical data models.
  • Optimize pipelines, SQL queries, and data processing performance.
  • Ensure data quality, security, governance, privacy, and compliance.
  • Troubleshoot production issues and ensure reliable data delivery.
  • Maintain technical documentation for pipelines, data models, and integrations.
  • Collaborate with business stakeholders, data architects, data owners, and cross-functional teams.
  • Independently deliver and support production-grade data engineering solutions.

Ideal Candidate Profile

  • Strong hands-on Azure Data Engineering experience.
  • Capable of independently delivering scalable, production-ready data solutions.
  • Comfortable collaborating with technical and non-technical stakeholders.
  • Proactive, accountable, and committed to continuous improvement.

Interested candidates: Please share your updated resume along with your current CTC, expected CTC, notice period, and current location.

Thanks & Regards,
P. Deva
Talent Acquisition Manager
Honeybee Tech Solutions Pvt. Ltd.

peddollu.d@honeybeetechsolutions.com


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