Data Engineer (AWS & Snowflake

Position: Data Engineer (AWS & Snowflake)
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location:

Fort Mill, SCJob 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 use1 Snowflake Snowpark The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics2 DBT

Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus3 AWS services Airflow The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines4 AWS services Lambda Proficiency in AWS Lambda for serverless computing and event driven architecture is essential for this role5 AWS services Glue The candidate should be wellversed in AWS Glue for ETL Extract Transform Load processes and data integration6 Fivetran HVR Working knowledge and handson experience on Fivetran HVR7 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 DBTCollaborate with data scientists and analysts to understand data requirements and implement solutions

Optimize data workflows for performance scalability and reliability

Troubleshoot and resolve data related 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 DBTStrong analytical and problem solving skills

Excellent communication and teamwork abilities

Technical certifications are a plus Bachelors degree in Computer Science Information Technology or a related field3 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…