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Description: Position Summary Role: Lead Senior Associate | Data Engineering Company: Deloitte Touche Tohmatsu India LLP Location: Bangalore (Hybrid: 3 days onsite, 2 days remote) Experience: 4 to 6 Years Core Responsibilities - Design, build, and maintain ETL/ELT pipelines. - Develop scalable data architectures on Azure and Snowflake. - Integrate data from APIs, databases, streaming platforms, and third-party systems. - Ensure data quality, governance, and performance optimization. - Support Analytics, BI, AI/ML, and reporting teams. - Implement monitoring, logging, and workflow automation. - Create and maintain data models and technical documentation. Mandatory Skills Snowflake - Snowflake Data Warehouse - Snowpipe - Streams & Tasks - Time Travel - Snowpark Azure Data Engineering Stack - Azure Data Factory (ADF) - Azure Databricks - Azure Synapse Analytics - Azure SQL Database - Azure Data Lake Programming - Python - SQL / T-SQL - PySpark - Spark SQL - Basic knowledge of KQL Data & ETL - Data Modeling (ERD, Dimensional Modeling) - ETL/ELT Development - Experience with ADF - Exposure to dbt, Fivetran, Matillion, or Airflow Additional Technical Skills - Hadoop & Spark (working knowledge) - Performance Tuning & Troubleshooting - Git - Azure DevOps Preferred Skills - Chat applications and Micro Frontends - Microsoft Teams Bot Framework - Adaptive Cards - D3.js / Highcharts - Azure Web Apps - Python-based web development Education BE / B.Tech / ME / M.Tech / BCA / MCA / MBA Ideal Candidate Profile A Data Engineer with 4-6 years of experience who has strong hands-on expertise in Snowflake, Azure Data Factory, Databricks, PySpark, SQL, Data Modeling, and end-to-end ETL development, along with exposure to modern cloud data platforms and Azure ecosystem services.