Analytics Engineer – Data Pipelines & AI Analytics

Capgemini; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Capgemini is seeking a highly skilled Data Engineer to lead the design and deployment of scalable data pipelines within the Service Analytics and AI organization. This role is crucial for developing data products that enhance business analytics and customer experiences.

The ideal candidate must have hands-on experience with SQL, Python, dbt, and Snowflake, alongside strong problem-solving skills. Join us in building the next-gen data ecosystem!

Qualifications

• Hands-on experience with SQL, Python, dbt, and Snowflake.
• Experience in version control systems such as Git, and workflow management tools such as Airflow.
• Proven experience in designing and building scalable data pipelines.
• Strong understanding of data governance and quality assurance.
• Expertise in ETL/ELT processes and data modeling.

Responsibilities

• Lead design and deployment of scalable data pipelines.
• Establish data engineering best practices.
• Participate in code reviews and improve coding practices.
• Design and maintain robust ETL/ELT pipelines.
• Monitor and troubleshoot data pipelines for performance.

Skills

SQL

Python

dbt

Snowflake

Git

Airflow

Data governance

ETL/ELT processes

Performance optimization

Job description

Capgemini is seeking a highly skilled Data Engineer to lead the design and deployment of scalable data pipelines within the Service Analytics and AI organization. This role is crucial for developing data products that enhance business analytics and customer experiences.

The ideal candidate must have hands-on experience with SQL, Python, dbt, and Snowflake, alongside strong problem-solving skills. Join us in building the next-gen data ecosystem!