Job Description
Location: Noida, IndiaThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.Present in India since 1953, Thales is headquartered in Noida, Uttar Pradesh, and has operational offices and sites spread across Bengaluru, Delhi, Gurugram, Hyderabad, Mumbai, Pune among others. Over 1800 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Transport, Aerospace and Digital Identity and Security markets.
Data Engineer – Business Insights and Analytics
About the Role: We’re seeking a skilled Data Engineer to help build and evolve our Business Insights and Analytics platform, designed to drive insights for our Software Monetization clients. In this impactful role, you'll work alongside a talented team to design, develop, and scale a modern, data-driven analytics platform.
Responsibilities:
- Transform Requirements: Translate both functional and technical requirements into detailed design specifications.
- Develop Scalable Solutions: Design, develop, test, deploy, and maintain a robust, scalable data platform for advanced analytics.
- Drive Innovation: Shape our BI and analytics roadmap, contributing to the conception, implementation, and ongoing evolution of projects.
- Collaborate Across Teams: Work closely with Product Managers, Data Architects, DevOps Engineers, and other Data Engineers in an agile environment.
- Problem-Solve Creatively: Tackle complex challenges with curiosity, open-mindedness, and a commitment to continuous improvement.
Your Profile:
- Experience: Multiple years as a Data Engineer with extensive experience in big data, data integration, cloud data warehousing, and data lakes.
- Technical Skills:
- Strong experience building data processing pipelines using Databricks.
- Advanced proficiency in Python, PySpark, and SQL.
- Practical experience with CI/CD pipelines, Terraform, and cloud build tools (e.g., Google Cloud Build).
- Knowledge of the GCP ecosystem (Pub/Sub, BigQuery, Cloud Functions, Firestore) is a plus.
- Familiarity with AI frameworks in Python is advantageous.
- Experience with data analytics tools (e.g., Power BI, MS Dynamics, Salesforce CRM Analytics) is beneficial.
- Skills in GoLang and Java are a bonus.
- Attributes: A collaborative team player who is open, creative, analytical, self-motivated, and solution-oriented. Comfortable in an international, intercultural environment.
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
