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Role : Snowflake Data Engineer
Location : PAN India
Experience : 3 - 12 Years (Multiple openings)
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to gather and analyze data requirements.
- Design and implement data models that support business needs.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Strong understanding of ETL processes and data integration techniques.
- Experience with data modeling and database design.
- Familiarity with data quality frameworks and best practices.
- Knowledge of cloud data warehousing solutions.
Job ID: 147227671
Skills:
snowflake , Sql, Data Modeling, Cloud Architecture, Data Warehousing, Performance Tuning, Data Migration, Python, Automation, ETL Processes

Skills:
snowflake , Pyspark, Data Warehousing, Databricks, Data Modeling, Azure, Python, Sql, AWS, ELT, Etl
Skills:
snowflake , Query Optimization, Data Manipulation, Data Modeling, Sql Development, Power Bi, Schema Design, Dax, Automation, Power Query, Python, Scripting, Data Validation, Performance optimization
Skills:
and query tuning., and optimize Snowflake-based data warehouse solutions., • Develop and maintain modular DBT models (staging, and marts)., and Git-based workflows., and architecture teams to deliver reliable data solutions., Security & Performance Optimization ? DBT (Data Build Tool) ? Advanced SQL ? Data Modeling & Data Warehouse Architecture ? ETL / ELT Development ? Snowpipe, Streams & Tasks ? Git & CI/CD ? Unix/Linux Shell Scripting ? Control-M, Streams, Clustering, Autosys, Optimize Snowflake performance using Snowpipe, Tasks, Design, Develop, Intermediate, Build scalable ETL/ELT pipelines, Implement CI/CD pipelines, Analytics, Business, enterprise data models, including Star Schema, Snowflake Schema, and Fact/Dimension modeling, Snowflake Architecture, Airflow, or similar orchestration tools
Skills:
Azure Services, Sql, Azure Data Bricks, Azure Synapse Analytics, Devops, Apache Spark, Pyspark, Azure Functions, Api Integration, Data Governance, Python, Terraform, Git, Azure Data Lake, Data Modeling, Logic Apps, Airflow, Snowflake Data Warehouse Development, CI CD, Azure Data Factory ADF, Monitoring and observability frameworks, Performance tuning and optimization, Key Vault, DBT Data Build Tool
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