About the role
structured by ORIExp- 5 + years This position plays a role in the data ecosystem by assisting in transforming raw data into structured, high-quality datasets that are ready for analysis. The role primarily focuses on low to moderately complex business problems while receiving coaching and guidance from data leadership.
What you will do
- Assisting in transforming raw data into structured, high-quality datasets that are ready for analysis.
- Responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization.
What they are looking for
- SQL - Entry Level (1-3 Years)
- Python - Entry Level (1-3 Years)
- dbt - Entry Level (1-3 Years)
- Airflow - Entry Level (1-3 Years)
- AWS/Azure/GCP - 3 years
- Databricks- 2 years
- English Fluency- Fluent
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
Full posting text
Exp- 5 + years
This position plays a role in the data ecosystem by assisting in transforming raw data into structured, high-quality datasets that are ready for analysis. The role primarily focuses on low to moderately complex business problems while receiving coaching and guidance from data leadership. The role combines the technical skills of a data engineer, the analytical mindset of a data analyst, and working business acumen to ensure data is not only collected and stored efficiently but also accessible and insightful for end users.
With some coaching and guidance from more experienced engineers, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization. The position requires understanding of data engineering, business processes, and analytics principles as well as a proactive approach to solving complex data challenges.
Requirements
SQL - Entry Level (1-3 Years)
Python - Entry Level (1-3 Years)
dbt - Entry Level (1-3 Years)
Airflow - Entry Level (1-3 Years)
AWS/Azure/GCP - 3 years
Databricks- 2 years
English Fluency- Fluent
Benefits
Competitive compensation and benefits package:
Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture within a globally renowned group
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development
Note: Benefits differ based on employee level.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
The Group €22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting