FBS Associate Analytics Engineer

Capgemini

Pune District

Hybrid

INR 600,000 - 1,000,000

Full time

14 days+
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Benefits offered by this job

Private Health Insurance
Pension Plan
Paid Time Off
Training & Development

Job summary

Capgemini in Pune is seeking a data role to assist in transforming raw data into structured, high-quality datasets for analysis. You will support end-to-end data workflows with guidance from senior engineers, helping ensure data is accessible and insightful for end users.

The role emphasizes learning and growth in data engineering, analytics principles, and business processes within Capgemini's global platform.

Qualifications

  • Experience 1-3 years in data-related roles.
  • End-to-end data workflow including ingestion, transformation, modeling and validation.
  • Ability to work under guidance from data leadership and develop data-driven insights.

Responsibilities

  • Assist in end-to-end data workflow: ingestion, transformation, modeling, and validation.
  • Support data-driven decision-making by ensuring data is accessible and insightful for end users.

Skills

English Fluency
Analytical mindset

Tools

SQL
Python
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:
  • 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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