Technical Skills

Expertise in DBT (preferred) for data modeling.
Strong SQL skills with hands-on experience in: o Snowflake o Azure SQL o Stored procedures
Proficiency in Python for data engineering workflows.
Hands-on experience with: o Databricks & PySpark o Azure Data Services (ADF, ADLS, Synapse)
Strong knowledge of Snowflake architecture and schema design.
Experience with data validation, quality frameworks, and analysis tools.
Familiarity with GitHub and CI/CD practices. Role demands a highly skilled Data Engineer to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate will have strong expertise in data modeling, cloud-based data architectures, and up-to-date data engineering tools across Azure, Snowflake, and Databricks environments. Key Responsibilities Data Engineering & Pipeline Development
Design, develop, and maintain robust ETL/ELT pipelines using Databricks, PySpark, and Azure Data Factory (ADF).
Build scalable and efficient data ingestion frameworks for structured and unstructured data.




Optimize pipeline performance through performance tuning and orchestration best practices. Data Modeling & Management
Develop and maintain data models using modern tools (DBT preferred).
Implement Master Data Management (MDM) solutions to ensure data consistency and integrity.
Design scalable and efficient Snowflake schemas (star/snowflake schema, dimensional modeling). Database & Query Optimization
Write and optimize advanced SQL queries across Snowflake, Azure SQL, and Synapse.
Develop and manage stored procedures and database objects.
Ensure efficient data retrieval through indexing, partitioning, and query optimization. Cloud & Platform Integration
Work with Azure data services including: o Azure Data Factory (ADF) o Azure Data Lake Storage (ADLS) o Azure Synapse Analytics o Azure SQL Database
Integrate and maintain Snowflake with Azure ecosystem. Python Development
Develop data transformation and automation scripts using Python

📌 Data Engineer (Pune)
🏢 Infosys
📍 Pune