Data Engineer

Capgemini

United States

11 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Compensation

$72,550.0 - $113,360.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing Memory Management Job Scheduling Python (Programming Language) Standard Sql SQL Databases Snowflake Information Technology Api Management

Job description

Need a Senior Level Data Engineer with around 6-8 yrs of IT experience. Responsible for writing various transformation using either Python scripts and/or DBT Models in Snowflake.

Requirements

Experience: 6-8 years of IT experience with 4-5 yrs of experience working on data engineering projects.
DBT: Expert-level SQL and experience managing complex dbt projects. Need to have experience in CI/CD management and job schedulers. This is very important and will definitely need to brush up on SQLs.
Python: Good experience in creating ETL pipelines and API integrations with Snowflake. This is going to be asked, so need to know how Python works in ETL pipeline including memory management, clustering concept etc.
Snowflake: Hands-on knowledge of Snowflake; at least conceptual knowledge of Snowflake architecture is preferred. However, good data warehousing experience is a must, even if Snowflake experience is limited.

Benefits & conditions

Pulled from the full job description Health insurance Retirement plan Vision insurance Dental insurance

Full job description

Remote Contract (4 months 29 days) Published 17 hours ago Snowflake dbt data engineer Python, The pay range that the employer in good faith reasonably expects to pay for this position is $34.88/hour - $54.50/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.