FBS Data Engineer

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

Benefits offered by this job

Competitive salary

Health Insurance

Paid Time Off

Training & Development

Job summary

Capgemini is seeking a data engineer to design and maintain data pipelines across on‑premises and cloud environments, translating analytics requirements into scalable data solutions. You will work with big data, relational and non‑relational stores, and various BI and AI/ML tools, contributing to trusted data for business users, data scientists, and decision-makers.

You will develop data models, build streaming and batch pipelines, implement data governance, and collaborate in agile sprints.

Qualifications

• Strong SQL and data modeling skills.
• Experience with cloud and on‑prem data pipelines.
• Familiarity with AI/ML tooling is a plus.

Responsibilities

• Lead design and development of data products for analytics.
• Build scalable data pipelines for batch and streaming data.
• Ensure data governance and quality across data stores.
• Collaborate in agile sprints delivering on time.

Skills

SQL

Python

PySpark

Shell Scripting

Problem Solving

Tools

Snowflake

DBT

Power BI

Job description

Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios. Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support. Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some.

Essential Job Functions

Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products. Practices code management and integration with current architectural and data governance guidelines with reduced oversight required of leadership. Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching. Creates business user access methods to structured and unstructured data. Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content. Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint. Projects are of increasing complexity but require less coaching and assistance from leadership. Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity. Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback. Applies sound knowledge of data governance concepts with limited experience in application. Executes on mid size projects and large tasks within timelines. Develops data project plans and executes with some supervision. Performs other duties as assigned.

Requirements

Other Critical Skills SQL - Advanced DBT/ Informatica - Advanced Python/ PySpark - Intermediate Power BI - Intermediate Shell Scripting - Intermediate Problem Solving - Intermediate

Software / Tool Skills Snowflake - Intermediate (4-6 Years) DBT - Intermediate (4-6 Years) Power BI - 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

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,