FBS Data Engineer
At a glance
Mid-level Data Engineering role at Capgemini. Hyderabad · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build end-to-end data workflows, from bringing data in through transformation, modeling and validation
- Turn raw information into structured, reliable datasets that people can use for analysis
- Make sure data is stored efficiently and remains accessible and useful to end users
- Work through low- to moderate-complexity business problems with guidance from experienced data leaders
What you bring
- At least five years of experience
- You bring three years with AWS, Azure or GCP, plus two years using Databricks
- You have entry-level experience with SQL, Python, dbt and Airflow
- Fluent English is required
Who this fits
This role suits a mid-level data engineer who can handle end-to-end workflows while working with coaching on lower- to moderate-complexity problems. The role is based onsite in Hyderabad.
From the employer
Exp- 5 + 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.
Requirements
- 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 - 3 years
- Databricks- 2 years
- English Fluency- Fluent
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.
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