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Impact Infotech- Data Tech Lead

NextHire Consulting

Impact Infotech- Data Tech Lead

Reposted 23 Days Ago

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In-Office

Mumbai, Maharashtra, IND

Senior level

In-Office

Mumbai, Maharashtra, IND

Senior level

Lead data engineering efforts: build and optimize Snowflake-based ETL pipelines with Azure Data Factory, develop advanced SQL (procedures, views, transformations), design star/snowflake schemas, use Snowflake features for performance and recovery, automate tasks with Python, and implement CI/CD for data workflows using Azure DevOps/Git.

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Job Title: Data Tech Lead
Location: Mumbai

Responsibilities:
Data Engineer with relevant 8 years of experience, specializing in senior Snowflake Developer and advanced SQL & Azure data factory.
• Build and optimize data pipelines and ETL workflows using Snowflake and Azure Data Factory (ADF).
• Develop complex SQL queries, stored procedures, views, and transformations in Snowflake.
• Implement Snowflake features: Streams, Tasks, Cloning, Time Travel, Performance Optimization, Materialized Views.
• Design and maintain data models (star schema, snowflake schema, fact/dimension tables).
• Write Python scripts for automation, transformations, and CI/CD integration.
• Implement and maintain CI/CD pipelines for data workflows (Azure DevOps/Git).
Required Skills:
• Strong Snowflake Development experience (not just administration).
• Expertise in Azure Data Factory (pipeline design, data flows, orchestration).
• Advanced SQL development skills.
• Experience with Python for data engineering.
• Knowledge of data modelling techniques.
• Nice to Have:
• Exposure to Power BI or other visualization tools.
Familiarity with cloud environments (Azure, AWS).
• Snowflake certification is mandatory.

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