FBS Associate Data Engineer

Capgemini; Pune District; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits package

Career development and training

Flexible work arrangements

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

Capgemini India is looking for a Jr Data Engineer to join the BW SOON Data Team. You will support analysis of data from multiple source systems and help develop data marts based on business needs, under guidance from senior teammates.

The role emphasizes solid data analytics, SQL/PL-SQL, and collaboration on data products with business partners and engineers. Passions include data modeling and cloud familiarity while growing technically.

Qualifications

• Develop, monitor, and support ETL/ELT pipelines processing enterprise data, with ODI experience.
• Assist in developing data warehouse and data mart solutions, including data models and data lineage.
• Analyze and profile data from source systems such as DB2, Oracle, and distributed platforms.
• Strong SQL/Oracle PL/SQL development, including query writing and basic performance tuning.
• Familiarity with dimensional modeling (Kimball), TNF, Data Vault, and Medallion Architecture.
• Assist in incident support, root cause analysis, and data quality controls.

Responsibilities

• Analyze data from multiple source systems and support data marts development.
• Collaborate with business partners and senior engineers to understand requirements.
• Create technical design documents and data lineage documentation.
• Support data quality controls, reconciliation, and metadata management.
• Assist cloud modernization and data migration initiatives.

Skills

ETL/ELT pipelines

SQL

Python

Data modeling

Communication

Tools

ODI

Oracle PL/SQL

Snowflake

DBT

Airflow

GitHub

Job description

A Jr data engineer on the BW SOON Data Team supports the analysis of data from multiple source systems and assists in developing data marts based on business requirements, under the guidance of senior team members. Solid data analytics and technical fundamentals are required, along with the ability to assist in creating data models, STTMs, and other technical documentation. The Engineer should have good communication skills and the ability to understand design requirements and existing business processes to support the design, development, and implementation of data products — in partnership with business partners and senior engineers. In addition, the Engineer should have the following knowledge: 1) Develop, monitor, and support ETL/ELT pipelines processing enterprise data, with intermediate experience using Oracle Data Integrator (ODI). 2) Assist in developing data warehouse and data mart solutions, including data models, STTMs, technical design documents, and data lineage documentation, under senior guidance. 3) Analyze and profile data from source systems, including DB2, Oracle, and distributed data platforms. 4) Intermediate expertise in SQL and Oracle PL/SQL development, including query writing, troubleshooting, and basic performance tuning. 5) Working knowledge of data modeling concepts, including dimensional modeling using Kimball methodologies, Third Normal Form (TNF), Data Vault concepts, and Medallion Architecture. 6) Assist in investigating and resolving production issues, data quality concerns, and performance bottlenecks; basic experience with incident support and root cause analysis. 7) Collaborate with business partners and senior engineers to understand requirements and support the development of data solutions. 8) Basic experience supporting data quality controls, reconciliation processes, and metadata management, with awareness of data security, access controls, PII protection, and compliance requirements. 9) Support cloud modernization and data migration initiatives as assigned; exposure to cloud platforms (AWS, Azure) is a plus. 10) Good communication, documentation, and collaboration skills, with a willingness to learn and grow technical and stakeholder-facing abilities. 11) Beginner to Intermediate — Python development skills for data integration and automation tasks. 12) Familiarity — Snowflake, DBT, and related orchestration/version-control tools (e.g., Fivetran, Airflow, GitHub) is a plus.

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

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. 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/