Snowflake Data Engineer

1 day ago

Pune, India Exusia Full time

Department:                           Sales and Delivery Team - Empower Industry:                                  Information Technology & Services, Computer Software, Management Consulting Location:                                  WFH/ India Remote Experience Range :                6 - 10 years Basic Qualification:                Bachelor of Engineering or Equivalent Travel Requirements:            Not required Website :                                  Exusia, a cutting-edge digital transformation consultancy, and is looking for top talent in DWH & Data Engineering space with specific skills in Snowflake/Python/DBT to join our global delivery team's Industry Analytics practice in India. What’s the Role? ·        Full-time job to work with Exusia's clients in the United States to deliver on bleeding-edge data-driven solutions ·        Developing and managing large scale data pipelines and data repositories ·        Collaborate with Product Owners, Solution Architects to develop optimized data engineering solutions. Criteria for the Role ·        Minimum 6 years of experience working as a Data engineer ·        Min 2 years exp in Snowflake and DBT ·        Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas. ·        Excellent communication skills and should be able to work directly with business stakeholders, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies Responsibilities ·      Implementing end to end data pipelines to move data from source systems into data lake or data warehouse ·      Build pipeline automation and orchestration process ·      Develop Snowflake data models (e.g., star schema, snowflake schema) for optimized query performance. ·      Working with Data Analysts to ensure the pipelines are tested and optimised to provide accurate and timely data ·      Working in an agile software delivery model and manage changing requirements and priorities during the SDLC  Mandatory Skills ·      Develop and maintain Snowflake data models (e.g., star schema, snowflake schema) for optimized query performance. ·      Create and maintain Snowpipe & SnowSQL scripts for data loading, data transformations, and data retrieval. ·      Proficiency in SQL for data manipulation, transformation, and processing. ·      Expertise in DBT to develop modular, scalable, and well-documented data pipelines. ·      Strong python programming experience to support data processing and automation. ·      Hands-on experience with Airflow for orchestrating data pipelines ·      Knowledge of cloud platforms specifically storage and databases to source or stage data for Snowflake ·      Problem-solving skills with the ability to work with large datasets and debug data pipeline issues. Nice to have skills ·      Understanding of Data Modeling & legacy ETL technologies ·      Prior migration experience - On Prem legacy databases to snowflake ·      Knowledge of Spark / Spark based data processing tools ·      Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform ·      Exposure to Data Governance aspects like Metadata Management, Data Dictionary, Data Glossary, Data Lineage

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