DATA & ANALYTICS ENGINEER at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud-Native Development, GCP, Infrastructure Management, Containerisation, Docker, Kubernetes, RESTful API Design, CI/CD, Jenkins, Git, SQL, NoSQL, Data Warehousing, Problem-Solving, Debugging, Analytical Skills

Industry

Telecommunications

Description

Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. VOIS #BeUnrivalled #CreateTheFuture About this Role We are seeking a highly skilled Data & Analytics Engineer with strong proficiency in Python programming and cloud-native development. This role involves designing, developing, and deploying applications on Google Cloud Platform (GCP), managing infrastructure, and collaborating with data engineers to process large datasets. The individual will also implement CI/CD pipelines, ensure best practices for performance and security, and troubleshoot production issues. What you will do Develop, deploy, and maintain Python-based applications and services on GCP. Build and manage GCP infrastructure using tools such as Google Cloud Functions, App Engine, and Cloud Run. Collaborate with data engineers to process large datasets using GCP services like BigQuery and Cloud Storage. Ensure best practices for performance, security, and scalability of cloud applications. Write unit tests and documentation to maintain code quality and reliability. Troubleshoot and debug cloud-based applications in production environments. Implement automation and CI/CD pipelines using tools such as Jenkins, GitLab, or Google Cloud Build. Work with containerisation technologies (Docker, Kubernetes) and RESTful API design. Apply agile development methodologies (e.g., SCRUM, SAFe). Who you are Strong proficiency in Python programming and cloud-native development. Hands-on experience with GCP services and infrastructure management. Familiarity with containerisation technologies (Docker, Kubernetes). Knowledge of RESTful API design and implementation. Experience with CI/CD tools such as Jenkins and Git-based repositories. Understanding of SQL and NoSQL databases and data processing frameworks. Familiarity with data warehousing concepts. Strong problem-solving, debugging, and analytical skills. Not a perfect fit? Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best. What's in it for you Advanced cloud architecture and deployment strategies on GCP. Expertise in Python-based application development and container orchestration. CI/CD pipeline automation and agile methodologies. Data engineering practices and optimisation techniques for large datasets. What skills you will learn Advanced cloud architecture and deployment strategies on GCP. Expertise in Python-based application development and container orchestration. CI/CD pipeline automation and agile methodologies. Data engineering practices and optimisation techniques for large datasets. VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. Join Us At Vodafone, we're working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. JDEnhancedByTARA Follow us on social media and #StayConnected LinkedIn Facebook Instagram You can also chat with our employees to learn more about our projects: Click here

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Responsibilities

The Data & Analytics Engineer will develop, deploy, and maintain Python-based applications and services on Google Cloud Platform (GCP). They will also collaborate with data engineers to process large datasets and implement CI/CD pipelines.