Overall Responsibilities
- Design and develop scalable, reliable data pipelines on Azure to collect, process, and store large datasets
- Implement productive data models and data warehousing solutions aligning with business requirements
- Collaborate with data scientists, analysts, and application teams to integrate data workflows
- Optimize data pipeline performance, reliability, and security
- Support data governance, compliance, and data privacy standards
- Monitor operational health of data solutions and troubleshoot issues proactively
- Document architecture, workflows, and best practices for data ingestion and transformation
- Stay updated with the latest Azure data platform innovations and incorporate improvements

Software Requirements
- Proficiency in SQL and Python for data processing and scripting
- Hands-on experience with Azure Data Services such as Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics
- Understanding of data warehousing, data modeling, and ETL/ELT processes
- Experience implementing data pipelines for ingestion,



transformation, and storage
- Knowledge of Azure Blob Storage, Cosmos DB, and relational databases (Azure SQL Database, SQL Server)
- Familiarity with DevOps practices for deployment and continuous integration in the cloud
- Experience with Spark, Scala, or Java in Azure Databricks
- Knowledge of Power BI or other data visualization tools
- Exposure to DataOps, automation, and monitoring tools within Azure

Category-wise Technical Skills
Data Processing & Frameworks:
- Azure Data Factory, Azure Databricks, Azure Data Lake, Synapse Analytics
- Python, PySpark, Scala, or Java for data processing
- SQL, T-SQL, and experience with relational and non-relational data stores

Cloud & Infrastructure:
- Azure AI & Machine Learning services (optional)
- Azure Storage options: Blob, Data Lake, Cosmos DB
- Azure DevOps, CI/CD pipelines, Infrastructure as Code (ARM templates, Terraform)

Data Modeling & Warehousi

📌 Azure Data Engineer (Pune)
🏢 Synechron
📍 Pune