FBS Associate Analytics Engineer

Capgemini; Hyderabad; Hybrid; INR 600,000 - 800,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Comprehensive benefits package

Career development and training

Flexible work arrangements (remote/ons

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

Capgemini is seeking a data professional with 1–3 years of experience to help transform raw data into structured, high-quality datasets for analysis. The role blends data engineering and analytics, with coaching from leadership, covering ingestion, transformation, modeling and validation to enable data-driven decisions.

You will work with SQL, Python, dbt and Airflow in a cloud environment, with English fluency as part of effective collaboration within a global team.

Qualifications

• 1–3 years of experience in data engineering or analytics.
• Proficient with SQL, Python, dbt, Airflow and cloud platforms (AWS/Azure/GCP).
• Fluent in English with strong communication skills.

Responsibilities

• Assist end-to-end data workflow including ingestion, transformation, modeling and validation.
• Support data quality and accessibility for end users.
• Collaborate with data leadership and engineers to enable data-driven decisions.
• Contribute to data pipelines that feed analytics across the organization.

Skills

SQL

Python

dbt

Airflow

Cloud platforms

English Fluency

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:

• 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/