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 an AWS Data Engineer for a six-month contractor role in Pune. The role will focus on designing, developing and maintaining scalable data pipelines and data models using AWS Glue, Apache Spark, Python, Amazon Redshift, Amazon Athena and Apache Iceberg.
You will work across data warehousing, ETL processes and AWS-based data services, collaborating with stakeholders to address data quality issues, support existing services and develop solutions that meet evolving business requirements.
What you’ll do
Design, build and maintain scalable data pipelines using AWS Glue, Amazon Redshift and Amazon S3.
Develop efficient ETL processes for extracting, transforming and loading data into data warehouses and data lakes.
Design and maintain effective data models.
Develop solutions using Python, SQL, Apache Spark and AWS technologies.
Maintain and support AWS-based ETL pipelines and data services.
Investigate data quality issues, perform root cause analysis and coordinate resolution with relevant stakeholders.
Develop Proof-of-Concept solutions for emerging business and technology requirements.
Automate repetitive activities and develop reusable frameworks to improve efficiency.
Collaborate with teams to develop data products that support business functions.
Ensure data services are reliable, maintainable and successfully integrated with existing systems.
Contribute to process improvements and support the ongoing operation of data services.
Use Amazon QuickSight for data visualisation and dashboards where applicable.
Who you are
ou have 7 to 10+ years of relevant professional experience, including experience working with data warehouses.
You have hands-on knowledge of AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena and Apache Iceberg.
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
Opportunity to work on modern AWS-based data engineering solutions within a global technology environment.
Exposure to scalable data pipelines, data warehouses and data lake technologies.
Opportunity to collaborate with technical and business stakeholders on data quality and data product initiatives.
Hands-on involvement in automation, reusable data frameworks and Proof-of-Concept development.
Exposure to data solutions supporting telecommunications and wider business functions
What skills you will learn
Deeper practical expertise in AWS data engineering services including AWS Glue, Amazon Redshift, Amazon Athena and Amazon S3.
Advanced implementation of Apache Spark, Python and Apache Iceberg for modern data architectures.
Data modelling and scalable ETL/data pipeline design.
Data quality analysis and root cause investigation across complex data environments.
Automation, reusable framework development and CI/CD practices for data engineering.
Cross-functional collaboration in a large global technology environment.
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 truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
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LinkedIn: https://www.linkedin.com/company/vois/
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