Senior Data Engineer - AWS ETL & Data Warehousing Contract

Capgemini; Houston (TX); On-site; USD 54,139 - 84,584; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

A leading IT consulting firm is seeking a Data Engineer to design and implement data pipelines using AWS services. Candidates should have a minimum of 6 years of industry experience and hands-on expertise in Python and SQL. The position offers a pay range of $39.30 to $61.40 per hour, along with benefits including medical, dental, and vision. This contract role is aimed at mid-senior level professionals, emphasizing collaboration with data scientists and business stakeholders, ensuring data solutions align with business goals.

Qualifications

• 2+ years of hands-on experience with Python and SQL required.
• Minimum of 6 years of overall experience in the industry.

Responsibilities

• Design, develop, and implement data pipelines using AWS services.
• Build and maintain robust ETL processes for data efficiency.
• Design and manage data warehousing solutions on AWS.
• Collaborate with data scientists and stakeholders to deliver solutions.

Skills

Python

SQL

AWS Glue

AWS Lambda

AWS S3

AWS Kinesis

Snowflake

Data Warehousing

ETL Processes

Job description

A leading IT consulting firm is seeking a Data Engineer to design and implement data pipelines using AWS services. Candidates should have a minimum of 6 years of industry experience and hands-on expertise in Python and SQL. The position offers a pay range of $39.30 to $61.40 per hour, along with benefits including medical, dental, and vision. This contract role is aimed at mid-senior level professionals, emphasizing collaboration with data scientists and business stakeholders, ensuring data solutions align with business goals.