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Exusia

Snowflake Data Engineer

Reposted 11 Days Ago
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.
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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 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 


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 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


Top Skills

Airflow
Dbt
Python
Snowflake
SQL

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