Snowflake Data Engineer

unlimited holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
India

Offer summary

Qualifications:

Bachelor of Engineering or equivalent degree in Computer or Information Sciences., Minimum 6 years of experience as a Data Engineer., At least 2 years of experience with Snowflake and DBT., Strong skills in SQL, Python, and data pipeline development..

Key responsibilities:

  • Develop and manage large-scale data pipelines and repositories.
  • Collaborate with stakeholders to develop optimized data solutions.
  • Implement end-to-end data pipelines for data movement and transformation.
  • Work in an agile environment to adapt to changing requirements.

Exusia logo
Exusia SME http://www.exusia.com/
201 - 500 Employees
See all jobs

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 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


Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Proactivity
  • Physical Flexibility
  • Communication
  • Problem Solving

Data Engineer Related jobs