FBS Senior Data Engineer

Capgemini; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Flexible work arrangements

Job summary

Capgemini in Hyderabad, India, is seeking a Data Engineer on the BW SOON Data Team to design and build data products aligned with business requirements. You will develop ETL/ELT pipelines, model enterprise data warehouses, and ensure data quality and governance while collaborating with data scientists and business partners.

The role emphasizes strong SQL/PL/SQL development, data modeling using Kimball and Data Vault, and experience with cloud platforms (AWS/Azure).

Qualifications

• Design, develop, monitor ETL/ELT pipelines handling enterprise data.
• Develop enterprise data warehouse and data marts with data lineage.
• Profile and analyze data from multiple source systems.
• Demonstrate advanced SQL/PL/SQL, performance tuning, optimization.
• Model data using Kimball, TNF, Data Vault, and Medallion Architecture.
• Address production issues, data quality, SLA risks, and incident management.
• Collaborate with partners to translate requirements into scalable data solutions.
• Implement data quality controls, metadata management, and governance.
• Support cloud modernization across AWS and Azure platforms.
• Communicate clearly with stakeholders and document architecture.

Responsibilities

• Lead design, development, and implementation of data products with business partners.
• Create design docs, data models, and technical specifications.
• Guide data architecture discussions and data integration strategies.
• Provide production support and root cause analysis as needed.

Skills

Data modeling

ETL/ELT pipelines

SQL & PL/SQL

Dimensional modeling (Kimball)

Data governance & quality

Data architecture & integration

Cloud modernization & migration

Communication & stakeholder mgmt

Python for data integration

Tools

ODI

Snowflake

DBT

Airflow

GitHub

Fivetran

Job description

A Data Engineer on the BW SOON Data Team analyzes data from multiple source systems and designs/models data marts based on business requirements. Strong data analytics and technical skills are a must, along with the ability to create data models, STTMs, and other technical documentation. The Engineer should have strong communication skills and the ability to understand design requirements 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) Design, develop, monitor, and support ETL/ELT pipelines processing large volumes of enterprise data, with advanced experience using Oracle Data Integrator (ODI). 2) Design and develop enterprise data warehouse and data mart solutions, including data models, STTMs, technical design documents, and data lineage documentation. 3) Analyze and profile data from multiple source systems, including DB2, Oracle, and distributed data platforms. 4) Advanced expertise in SQL and Oracle PL/SQL development, including complex query writing, performance tuning, and optimization. 5) Strong data modeling experience, including dimensional modeling using Kimball methodologies, Third Normal Form (TNF), Data Vault concepts, and Medallion Architecture. 6) Investigate and resolve production issues, data quality concerns, performance bottlenecks, and SLA risks, experience with incident management, root cause analysis, and production support. 7) Collaborate with business partners to translate requirements into scalable data solutions; lead technical discussions and provide guidance on data architecture, modeling, and integration strategies. 8) Experience implementing data quality controls, reconciliation processes, metadata management, and governance standards, along with a strong understanding of data security, access controls, PII protection, and compliance. 9) Support cloud modernization, data migration, and platform transformation initiatives; hands-on experience with multiple cloud platforms (AWS, Azure) preferred. 10) Excellent communication, documentation, stakeholder management, and cross-team collaboration skills. 11) Intermediate - Python development skills for data integration, automation, and analytics. 12) Intermediate - Snowflake, DBT, and related orchestration/version-control tools (e.g., Fivetran, Airflow, GitHub) is a plus.

Oracle, ODI (Oracle data integration), PL-SQL, GitHub
Exp in Production Support

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/