FBS Associate Analytics Engineer

Capgemini; Hyderabad; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary & bonuses

Comprehensive benefits package

Career development & training

Flexible work arrangements (remote/prg

Dynamic & inclusive culture

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

Capgemini in Hyderabad invites applications for a Data Engineer / Analyst role with 1-3 years of experience. You will transform raw data into structured, high-quality datasets and support end-to-end data workflows including ingestion, transformation, modeling and validation under guidance from data leadership.

The position welcomes entry-level professionals in SQL, Python, dbt, Airflow and cloud platforms (AWS/Azure/GCP) with strong English communication and a proactive approach to solving data

Qualifications

• 1–3 years data engineering/analysis experience.
• Ability to transform raw data into structured datasets.
• Good understanding of data workflows and analytics principles.

Responsibilities

• Ingest, transform, model and validate data end-to-end.
• Collaborate with data leadership to ensure data quality and accessibility.
• Support data-driven decision making across the organization.

Skills

SQL

Python

Fluent English

Tools

dbt

Airflow

AWS

Azure

GCP

Job description

Exp- 1 to 3 years

This position plays a role in the data ecosystem by assisting in transforming raw data into structured, high-quality datasets that are ready for analysis. The role primarily focuses on low to moderately complex business problems while receiving coaching and guidance from data leadership. The role combines the technical skills of a data engineer, the analytical mindset of a data analyst, and working business acumen to ensure data is not only collected and stored efficiently but also accessible and insightful for end users. With some coaching and guidance from more experienced engineers, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization. The position requires understanding of data engineering, business processes, and analytics principles as well as a proactive approach to solving complex data challenges.

• SQL - Entry Level (1-3 Years)
• Python - Entry Level (1-3 Years)
• dbt - Entry Level (1-3 Years)
• Airflow - Entry Level (1-3 Years)
• AWS/Azure/GCP - Entry Level (1-3 Years)
• English Fluency- Fluent

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/