Assistant Manager_Python Data Engineer (GCP)_Pune

About this Role

We are looking for a skilled and motivated Python Data Engineer with expertise in Google Cloud Platform (GCP) to join our dynamic team. This role is ideal for individuals with a passion for building scalable data solutions and a strong foundation in Python and cloud technologies. The successful candidate will play a key role in designing, developing, and maintaining robust data pipelines and architectures that support business intelligence and analytics initiatives.

Who are you

• A data engineering professional with at least 4 years of experience in Python and GCP technologies.
• A collaborative team player who thrives in cross-functional environments.
• A detail-oriented individual with a strong commitment to data quality, security, and governance.
• A continuous learner who stays updated with the latest advancements in cloud and data engineering.

What you will do

• Design, develop, and deploy scalable data pipelines using Python and GCP services such as Cloud Run, Cloud Pub/Sub, and Cloud Storage.
• Build and manage data warehouses using BigQuery, Cloud SQL, and other GCP tools.
• Implement data validation, cleansing, and encryption techniques to ensure data quality and security.
• Collaborate with data scientists and analysts to support data modelling, visualisation, and machine learning initiatives.
• Optimise data workflows for performance, scalability, and cost-efficiency.
• Establish and maintain data governance policies and standards.
• Integrate data pipelines with various systems and applications.
• Troubleshoot and resolve issues in data pipelines, conducting root cause analysis as needed.
• Continuously explore and apply new GCP features and best practices to enhance data engineering capabilities.

What skills you need

• 3+ years of hands-on experience in Python development and data engineering on GCP.
• Proficiency in Python 3.x and libraries such as Pandas, NumPy, and Matplotlib.
• Strong knowledge of GCP services including Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, BigQuery, and Cloud SQL.
• Experience in data pipeline development, data warehousing, and data governance.
• Solid understanding of data modelling, architecture, and engineering principles.
• Familiarity with agile methodologies, Git version control, and CI/CD pipelines.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.

What skills you will learn

• Exposure to advanced machine learning and AI tools such as TensorFlow, Scikit-learn, and PyTorch.
• Hands-on experience with cutting-edge GCP services and features.
• Opportunity to pursue GCP Data Engineering certifications.
• Enhanced understanding of data science workflows and integration with engineering pipelines.

About VOIS:

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.
Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.
Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.
#VOIS #BeUnrivalled #CreateTheFuture

About Vodafone: