Immediate Joiner Only
Hybrid mode
Location:-Bangalore
Experience:-6+ Years

Responsibilities:
• Design and build REST APIs, Azure Functions, and event-driven integrations across applications, data platforms, and AI services.
• Develop data processing and transformation logic using Databricks, Spark, Python, and SQL.
• Implement integrations that preserve security context — authentication, authorization, and row-level access — end to end.
• Own solutions through the full lifecycle: design, build, CI/CD deployment, monitoring, and production support.
• Contribute to design reviews, engineering standards, and technical documentation.
• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• Collaborate with data scientists, data analysts,



data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.

Required Technical Skills

• Technical Knowledge:
• Robust knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Experience with Python and Spark.
• Experience with data transformation and orchestration tools such as Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps, and others.
• Knowledge of structured, semi-structured and unstructured data sources.
• Teamwork:
• Demonstrates the ability to effectively work in a team environment, align to stakeholders and business objectives.
• Communication:
• Have excellent verbal and written communication skills and demonstrates the ability to effectively work asynchronously across time zones.
• Technical

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