A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements.

Therefore, strong data analytics and technical skills are a must.

He or She should be able to create data models, STTMs and other technical documents.

The Engineer should have strong communication skills and the ability to understand design requirement and existing business processes to lead in the design, development, and implementation of data products in partnership with business partners and data scientists.

In addition, the Engineer should have the following knowledge:

Intermediate expertise in Data Vault 2.0 Modeling to be able to support and use the Specialty data vault
Advance Expertise in SQL. The Engineer will be writing complex SQL statements
Intermediate expertise in DBT, Phyton and GitHub development. The Engineer should be able to use DBT as an ELT tool to load the data mart tables
Advance expertise in Snowflake database
Some knowledge of Mainframe, Mainframe SAS and Distributed DB2. Mainframe is a source system of the mart
Some knowledge on the Fivetran tool. Fivetran is used as an Orchestrating tool of the DBT code
Hands-on experience with multiple cloud platforms including AWS and Azure is preferred
Informatica development skills
Good understanding of Medallion Data Architecture

Total Experience- 05 To 07 Years

Relevant Experience 05 to 07 years

Requirements

Other Critical Skills

SQL - Advanced

Critical Thinking - Intermediate

Ownership - Intermediate

Experienced in CI/CD practices - Intermediate

Designing scalable ETL/ELT pipelines - Intermediate

Software / Tool Skills

Python - Intermediate (4-6 Years)

DBT - Advanced (7+ Years)

Airflow - Intermediate (4-6 Years)

GitHub Desktop - Intermediate (4-6 Years)

Informatica - Intermediate (4-6 Years)

Microsoft Visual Studio - Intermediate (4-6 Years)

DB2 connect personal edition - Intermediate (4-6 Years)

IBM Data Studio 4.1.3 - Entry Level (1-3 Years)

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/

FBS Data Engineer