Job
Description
About The Role
Project Role :Application Lead
Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills :Microsoft Azure Data Services
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time education
Job Summary:We are seeking a skilled Azure Data Engineer to design, build, and manage scalable data pipelines and integrations within the Microsoft Azure ecosystem. The ideal candidate will have hands-on experience with Azure Data Factory (ADF), Azure Data Lake, and Azure SQL/Synapse, as well as a solid understanding of ETL/ELT processes, data modeling, and DevOps practices.________________________________________Key Responsibilities:
Design, build, and manage Azure Data Factory (ADF) pipelines. Manage Azure Data Services including Data Lake Gen2, SQL Database, Synapse, and Blob Storage. Implement ETL/ELT processes, transformations, and data validation. Develop and optimize SQL queries, data models, and warehousing solutions. Apply DevOps practices including Git, CI/CD, ARM templates, and pipeline deployments. Build dashboards and reports using Power BI or other visualization tools. Monitor, log, and alert for data pipeline performance and failures. Ensure data governance, security, and compliance with best practices.Professional & Technical
Skills: Must-Have - Hands-on experience with Azure Data Factory (ADF):pipelines, triggers, datasets, linked services, parameterization. Must-Have - Strong understanding of Azure Data Services:Data Lake Gen2, Azure SQL Database, Synapse Analytics, Azure Blob Storage, Key Vault. Must-Have - ETL/ELT development:transformations, incremental loads, upserts, slowly changing dimensions (SCDs). Must-Have - Strong SQL & data modeling skills (T-SQL, star/snowflake schema, fact/dimension tables, indexing, performance tuning). Must-Have - DevOps & version control:Git, CI/CD pipelines, ARM templates, Azure DevOps. Must-Have - Python or PySpark for data transformation and validation. Must-Have - Experience in monitoring and alerting using Azure Monitor and Log Analytics. Must-Have - Knowledge of data governance & security:RBAC, row-level security, data masking. Good-to-Have -Experience with Azure Synapse Analytics:dedicated/serverless pools, integration with ADF, query optimization. Good-to-Have -Exposure to Azure Databricks:Apache Spark, Databricks Notebooks, PySpark transformations. Good-to-Have -Power BI or other reporting tools:dashboards, dataflows, datasets, DAX. Good-to-Have -Familiarity with Microsoft Purview for data cataloging and lineage. Good-to-Have -Advanced data pipeline logging and traceability practices. Good-to-Have -Experience with SaaS and API data ingestion for ETL processes.________________________________________
Additional Information: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field. 48 years of hands-on experience in data engineering with a strong focus on Azure services. This position is based at Pune client office.
Qualification15 years full time education
