Azure Developer

Honeybee Tech Solutions; Pune District; In loco; INR 900.000 - 1.200.000; Tempo pieno

Descrizione del lavoro

Honeybee Tech Solutions Pvt. Ltd. is seeking a Senior Data Engineer – Azure Data Platform with 4–7 years of hands-on Azure data engineering experience. You will design and implement scalable data pipelines using ADF, Databricks, ADLS, and Synapse.

The role emphasizes data quality, governance, security, and collaboration with stakeholders on production-grade data solutions.

Competenze

• 4–7 years Azure Data Engineering experience.
• 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.

Mansioni

• 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.

Conoscenze

Azure Data Factory

Azure Databricks

PySpark

Python

SQL

ADLS

Azure Synapse

Data Modeling

ETL/ELT

Data Warehousing

Governance

Security

Communication

Descrizione del lavoro

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.

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

[e-mail]