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Snowflake Data Engineer

Exusia

Roles & Responsibilities

  • Bachelor's degree in Engineering, Computer Science, or related field.
  • Minimum 6 years of experience as a Data Engineer.
  • At least 2 years of hands-on experience with Snowflake and DBT.
  • Strong skills in SQL, Python, and data pipeline development.

Requirements:

  • Develop and manage large-scale data pipelines and repositories.
  • Collaborate with stakeholders to design optimized data solutions.
  • Implement end-to-end data workflows and automate pipelines.
  • Work in an agile environment to adapt to changing requirements.

Job description

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: www.exusia.com

Exusia, a cuttingedge digital transformation consultancy, and is looking for top talent in DWH & Data Engineering space with specific skills in SnowflakePythonDBT to join our global delivery teams Industry Analytics practice in India.


What’s the Role?

· Fulltime job to work with Exusias clients in the United States to deliver on bleedingedge datadriven 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 toolstechnologies

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


Requirements

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 welldocumented data pipelines.

· Strong python programming experience to support data processing and automation.

· Handson experience with Airflow for orchestrating data pipelines

· Knowledge of cloud platforms specifically storage and databases to source or stage data for Snowflake

· Problemsolving 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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