Azure Developer
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
Skills
- Analytics
- ARM Templates
- Azure
- Azure Data Factory
- Azure DevOps
- Azure Functions
- Azure Logic Apps
- Azure Synapse
- Big Data
- Cloud
- Data Engineering
- Data Governance
- Data Lake
- Data Modeling
- Data Pipelines
- Data Quality
- Data Warehousing
- Databricks
- DevOps
- ELT
- ETL
- Machine Learning
- Microsoft Purview
- PySpark
- Python
- SAP
- Snowflake
- SQL
- Terraform