Capgemini

Global consulting, technology services, outsourcing

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, India

About the Job

Requirements

Advanced SQL skills.
Advanced DBT or Informatica skills.
Intermediate Python or PySpark skills.
Intermediate Power BI skills.
Intermediate shell scripting skills.
Intermediate problem-solving skills.
Intermediate Snowflake skills, with 4–6 years of experience.
Intermediate DBT skills, with 4–6 years of experience.
Entry-level Power BI skills, with 1–3 years of experience.

Responsibilities

Acquire, curate, and publish data on-premises and in the cloud for analytical or operational uses in basic to moderate scenarios.
Ensure data is ready to use and creates a single version of the truth for business and technology users, reporting and visualization specialists, and data scientists, providing coaching and support.
Translate business analytics requests and requirements into design, development, testing, deployment, and production maintenance tasks.
Consult on intermediate-complexity data projects to understand design requirements and existing business processes, and lead the design, development, and implementation of data products.
Apply code management and integration practices consistent with current architecture and data governance guidelines.
Produce data building blocks, data models, and data flows for client requests involving dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration.
Create business-user access methods for structured and unstructured data.
Apply techniques including mapping data to a common data model, natural language processing, data transformation to satisfy business rules, artificial intelligence, statistical computations, and data-content validation.
Translate business data stories into technical story breakdowns and work estimates for schedules or planned agile sprints.
Develop and maintain moderately complex scalable data pipelines for streaming and batch requirements, and build API integrations to support increased data volume and complexity.
Prepare and cleanse data for downstream reporting using standard visualization or AI/ML tools, with coaching and feedback.
Apply data governance concepts.
Execute medium-sized projects and large tasks within timelines.
Develop data project plans and execute them with some supervision.
Perform other duties as assigned.

FBS Data Engineer

Capgemini · Hyderabad, India (Hybrid) · — · Posted 2026-11-03

Workplace: hybrid

Department: Advanced Analytics

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

Requirements

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)

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/

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About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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