Data Engineer SQL - Remote (m/w/d) in Hyderabad, India

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.

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.

The Engineer should be able to use DBT as an ELT tool to load the data mart tables.

1. Advance expertise in Snowflake database.
2. Some knowledge of Mainframe, Mainframe SAS and Distributed DB2. Mainframe is a source system of the mart.

7) Hands-on experience with multiple cloud platforms including AWS and Azure is preferred.
9) Good understanding of Medallion Data Architecture

Total Experience- 05 to 07 years
Relevant Experience 05 to 07 years
SQL - Advanced
Experienced in CI/CD practices - Intermediate
Designing scalable ETL/ELT pipelines - Intermediate
Software / Tool Skills
Python - Intermediate (4-6 Years)
Microsoft Visual Studio - Intermediate (4-6 Years)
IBM Data Studio 4.1.3 - Entry Level (1-3 Years)
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

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.