Data Engineer (AWS & Snowflake)

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Job Location: Fort Mill, SC

Job Description

Responsible for designing developing and maintaining scalable data pipelines and ETL processes using AWS Glue.

This role involves working closely with data engineers analysts and other IT professionals to ensure data is efficiently integrated transformed and made available for business use

1 Snowflake Snowpark The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics

2 DBT Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus

3 AWS services Airflow The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines

4 AWS services Lambda Proficiency in AWS Lambda for serverless computing and eventdriven architecture is essential for this role

5 AWS services Glue The candidate should be wellversed in AWS Glue for ETL Extract Transform Load processes and data integration

6 Fivetran HVR Working knowledge and handson experience on Fivetran HVR

7 Python Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks

Responsibilities

Design develop and maintain data pipelines and ETL processes using Snowflake AWS services Python and DBT

Collaborate with data scientists and analysts to understand data requirements and implement solutions

Optimize data workflows for performance scalability and reliability

Troubleshoot and resolve datarelated issues in a timely manner

Stay updated on the latest technologies and best practices in data engineering

Design and implement scalable ETL solutions using AWS Glue

Collaborate with data engineers and analysts to understand data requirements

Develop and manage data extraction transformation and loading processes

Optimize and improve existing data pipelines and ETL workflows

Ensure data quality and integrity during the transformation process

Monitor and troubleshoot issues with ETL jobs

Maintain detailed documentation of data workflows and processes

Stay updated with the latest AWS services and tools.

Required Skills

Bachelors degree in Computer Science Engineering or related field

Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT

Strong analytical and problemsolving skills

Excellent communication and teamwork abilities

Technical certifications are a plus

Bachelors degree in Computer Science Information Technology or a related field

3 years of experience working with AWS Glue and other AWS data services

Proven experience in designing and maintaining ETL processes

Strong knowledge of SQL and database management

Familiarity with data warehousing concepts and tools

Experience with Python or other scripting languages

Excellent problem-solving and analytical skills

Strong communication and teamwork abilities.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups nd Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations

Disaster Relief

The base compensation range for this role in the posted location is: 103330 to 128656

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may