FBS Senior Data Engineer

Capgemini; Maharashtra; Hybrid; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary

Health Insurance

Pension Plan

Paid Time Off

Training & Development

Flexible work arrangement

Job summary

Capgemini in India seeks a Data Engineer on the BW SOON Data Team to analyze data from multiple source systems and design data marts based on business requirements. The role emphasizes strong data analytics, technical skills, and the ability to produce data models, STTMs, and technical documentation in partnership with data scientists.

You will develop ETL/ELT pipelines (ODI), build data warehouses, profile data from DB2, Oracle, and cloud sources, and contribute to data quality, security, and

Qualifications

• Experience designing ETL/ELT pipelines using ODI.
• Strong SQL/PLSQL development with query optimization.
• Experience with data warehousing concepts and dimensional modeling.
• Familiarity with data governance, security, and PII protection.

Responsibilities

• Analyze data from multiple source systems and model data marts per business requirements.
• Lead design, development, and implementation of data products with business partners and data scientists.
• Develop and maintain ETL/ELT pipelines and data warehouse solutions.
• Collaborate to translate requirements into scalable data solutions and provide guidance on data architecture.

Skills

SQL/PLSQL

ETL/ELT Pipelines

ODI

Data Modeling

Python

Cloud Platforms

Data Governance

Communication Skills

Snowflake

DBT

Tools

Oracle

ODI

GitHub

Airflow

Fivetran

DBT

Snowflake

DB2

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:

• Design, develop, monitor, and support ETL/ELT pipelines processing large volumes of enterprise data, with advanced experience using Oracle Data Integrator (ODI).
• Design and develop enterprise data warehouse and data mart solutions, including data models, STTMs, technical design documents, and data lineage documentation.
• Analyze and profile data from multiple source systems, including DB2, Oracle, and distributed data platforms.
• Advanced expertise in SQL and Oracle PL/SQL development, including complex query writing, performance tuning, and optimization.
• Strong data modeling experience, including dimensional modeling using Kimball methodologies, Third Normal Form (TNF), Data Vault concepts, and Medallion Architecture.
• Investigate and resolve production issues, data quality concerns, performance bottlenecks, and SLA risks, experience with incident management, root cause analysis, and production support.
• Collaborate with business partners to translate requirements into scalable data solutions; lead technical discussions and provide guidance on data architecture, modeling, and integration strategies.
• 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.
• Support cloud modernization, data migration, and platform transformation initiatives; hands‑on experience with multiple cloud platforms (AWS, Azure) preferred.
• Excellent communication, documentation, stakeholder management, and cross-team collaboration skills.
• Intermediate - Python development skills for data integration, automation, and analytics.
• Intermediate - Snowflake, DBT, and related orchestration/version‑control tools (e.g., Fivetran, Airflow, GitHub) is a plus.

Requirements

Oracle, ODI (Oracle data integration), PL-SQL, GitHub

Exp in Production Support

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/