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.