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:
1) Intermediate expertise in Data Vault 2.0 Modeling to be able to support and use the Specialty data vault.
2) Advance Expertise in SQL. The Engineer will be writing complex SQL statements.
3) 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.
4) Advance expertise in Snowflake database.
5) Some knowledge of Mainframe, Mainframe SAS and Distributed DB2. Mainframe is a source system of the mart.
6) Some knowledge on the Fivetran tool. Fivetran is used as an Orchestrating tool of the DBT code.
7) Hands-on experience with multiple cloud platforms including AWS and Azure is preferred.
8) Informatica development skills.
9) 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.
Businesses everywhere are transforming. AI and cutting-edge technologies have created a groundswell of opportunities, new sources of long-term value and resilience. Capgemini is at the heart of this new technology revolution, partnering with clients in every sector to deliver real, sustainable transformation at scale. Collaborating across multiple business and tech ecosystems, our team of 420,000 experts in more than 50 countries unleashes human energy through technology and AI for an inclusive and sustainable future. Fostering agility, leveraging creativity, and maximizing competitiveness, Capgemini is the partner of choice for the businesses and organizations of tomorrow, helping our clients unlock the value of technology that will define their success in the decades to come.
Key team members
Vishy Ganti
Imran A.
Lila Tretikov
Abby Cheung
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