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Snowflake Data Engineer

Snowflake Data Engineer

ExusiaPune, Maharashtra, India
8 hours ago
Job description

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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