FBS Associate Data Engineer

Capgemini; Hyderabad; Hybrid; INR 400,000 - 650,000; Full time

Benefits offered by this job

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Flexible work arrangements

Job summary

Capgemini is seeking a Jr data engineer for the BW SOON Data Team in Hyderabad. You will support data analysis from multiple sources and assist in building data marts aligned with business needs. You will work under guidance from senior engineers and collaborate with partners to implement data products.

The role requires solid analytics, SQL/PLSQL, data modeling knowledge, and basic Python for integration tasks. Familiarity with Snowflake, DBT, and orchestration tools is a plus.

Qualifications

• Develop, monitor, and support ETL/ELT pipelines with ODI experience.
• Assist in data warehouse and data mart data models, design docs and lineage.
• Analyze and profile data from sources like DB2, Oracle, and distributed platforms.
• Advanced SQL and Oracle PL/SQL development, tuning, and debugging.
• Understand dimensional modeling (Kimball), 3NF, Data Vault concepts and Medallion.
• Investigate production issues, data quality, and performance bottlenecks.
• Collaborate with business partners and senior engineers for data solutions.
• Support data quality controls, reconciliation, metadata management and security awareness.
• Assist cloud modernization and data migration initiatives; exposure to AWS/Azure.
• Strong communication and documentation skills; willingness to learn and grow.
• Basic Python for data integration and automation tasks; familiarity with Snowflake, DBT, Airflow, and related tools.

Responsibilities

• Support analysis of data from multiple source systems.
• Assist in developing data marts per business requirements.
• Contribute to data models, SDTs, and design documents.
• Help resolve production issues and data quality concerns.

Skills

ETL Pipelines

ODI

SQL/PLSQL

Data Modeling

Python (basic)

Cloud Familiarity

Snowflake/DBT

Airflow

GitHub

Tools

ODI

Oracle PL/SQL

GitHub

Snowflake

DBT

Airflow

Fivetran

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:

• 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/