Senior Data Engineer (Snowflake, DBT & Python) at Capgemini | Jobyssey

Job Description

Role Overview

The HR Data Mart (HRDM) team develops and maintains trusted HR analytics data products and infrastructure, enabling secure, scalable, and certified datasets for HR Centers of Excellence and HR leaders. Scope of Work Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python applications. Build infrastructure and tooling for ETL processes using Python, DBT, Terraform, and AWS services. Implement process improvements and data quality testing. Monitor pipelines and maintain 99.5% uptime. Create and maintain data models used by partner teams. Design and build semantic views and ontology layers on top of dbt models. Develop and deploy AI agents using Snowflake Cortex Analyst/Cortex Search for HR use cases. Configure and maintain MCP (Model Context Protocol) connections between Snowflake and internal AI tooling.

Must-Have Skills

5+ years of experience.
Strong Knowlege Data modeling
Strong Knowlege Datamarts
Strong Knowlege Data warehouse design
Strong KnowlegeDBT for data transformations.
Strong Knowlege Python including object-oriented programming and data scripting.
Strong Knowlege REST API integration and data ingestion.
Strong Knowlege Google BigQuery querying and optimization.
Strong SQL and highly optimized query development.

LI-NO1

LI-Remote

Job Description - Grade Specific

Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

For this role, the gross annual starting base salary is [X] [currency] (full-time). This covers base pay only; any bonuses, incentives, and benefits will be discussed later in the recruitment process. Candidates with additional experience or qualifications may receive a higher offer, determined by objective, gender-neutral criteria and consistent with our pay principles. If a collective labour agreement applies, we will explain the relevant pay terms at the interview stage. Note: We never ask for your current or previous salary during our hiring process.

Senior Data Engineer (Snowflake, DBT & Python)

Similar jobs