AWS Data Engineer - VOIS

Vodafone Group Plc

Pune District

On-site

INR 2,500,000 - 4,200,000

Full time

9 days ago

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Job summary

VOIS (Vodafone Intelligent Solutions) seeks an experienced AWS Data Engineer to design, build and support scalable cloud-based data solutions enabling data-driven decisions across the business. You will develop and maintain data pipelines, data models and data quality initiatives using AWS technologies.

This role requires 7 to 10+ years in data warehousing/engineering, strong Python, Spark, Redshift, Athena and Iceberg experience, and the ability to collaborate with global stakeholders on modern

Qualifications

7 to 10+ years of relevant experience in Data Warehousing and Data Engineering.

Responsibilities

Design, develop and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, Amazon S3 and related AWS services.
Build and optimise data warehousing and data lake solutions to support analytical and operational business requirements.
Develop applications and data processing solutions using Python, SQL and cloud-native technologies.
Create and maintain robust data models that support reporting, analytics and business intelligence needs.
Perform data quality analysis, root cause investigation and resolution in collaboration with business and technical stakeholders.
Develop proof-of-concept solutions to evaluate and implement innovative data engineering approaches.
Support the operation and ongoing maintenance of data services to ensure reliability, scalability and performance.
Automate repetitive activities and create reusable frameworks that improve efficiency and consistency.
Work closely with cross-functional teams to design and deliver data products that support marketing and other business functions.
Manage source code, deployments and releases using GitHub and CI/CD practices.
Leverage tools such as Athena, Apache Iceberg, APIs and JSON-based integrations to support modern data architectures.
Contribute to process improvements, operational excellence and continuous service enhancement initiatives.
Exposure to Amazon QuickSight for dashboard development and data visualisation will be advantageous.

Skills

Data warehousing

Data engineering

ETL pipelines

AWS services

Python

Apache Spark

SQL

GitHub / CI-CD

Stakeholder management

Communication in English

Tools

AWS Glue

Apache Spark

Amazon Redshift

Amazon Athena

Apache Iceberg

GitHub

CI/CD

API integrations

JSON processing

JIRA

Job 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.

About this Role

We are seeking an experienced AWS Data Engineer to design, build and support scalable cloud-based data solutions that enable data-driven decision making across the business. This role will focus on developing and maintaining data pipelines, creating data models, supporting data quality initiatives, and delivering innovative solutions using AWS technologies. The successful candidate will collaborate with global stakeholders and contribute to the continuous improvement of modern data platforms and services.

What you’ll do

Design, develop and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, Amazon S3 and related AWS services.

Build and optimise data warehousing and data lake solutions to support analytical and operational business requirements.

Develop applications and data processing solutions using Python, SQL and cloud-native technologies.

Create and maintain robust data models that support reporting, analytics and business intelligence needs.

Perform data quality analysis, root cause investigation and resolution in collaboration with business and technical stakeholders.

Develop proof-of-concept solutions to evaluate and implement innovative data engineering approaches.

Support the operation and ongoing maintenance of data services to ensure reliability, scalability and performance.

Automate repetitive activities and create reusable frameworks that improve efficiency and consistency.

Work closely with cross-functional teams to design and deliver data products that support marketing and other business functions.

Manage source code, deployments and releases using GitHub and CI/CD practices.

Leverage tools such as Athena, Apache Iceberg, APIs and JSON-based integrations to support modern data architectures.

Contribute to process improvements, operational excellence and continuous service enhancement initiatives.

Exposure to Amazon QuickSight for dashboard development and data visualisation will be advantageous.

Who you are

7 to 10+ years of relevant experience in Data Warehousing and Data Engineering.

Strong hands-on experience with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena and Apache Iceberg.

Proven experience designing, developing and supporting enterprise-scale ETL pipelines.

Strong understanding of data modelling concepts and best practices.

Experience with GitHub, CI/CD practices, API integrations and JSON processing.

Familiarity with ITSM processes and tools such as JIRA.

Knowledge of telecom business processes and data domains is desirable.

Excellent analytical, problem-solving and stakeholder management skills.

Ability to work effectively within geographically distributed and multicultural teams.

Strong verbal and written communication skills in English.

Proactive approach to identifying risks, issues and opportunities for improvement.

Demonstrates a customer-focused mindset, innovation, collaboration and accountability.

What skills you will learn

Advanced cloud data engineering practices across the AWS ecosystem.

Enterprise-scale data warehousing and data lake architecture design.

Data governance, data quality management and root cause analysis methodologies.

Modern DevOps and CI/CD approaches for data platforms.

Cross-functional stakeholder engagement within a large global organisation.

Telecom analytics and business data domain knowledge.

Scalable data modelling and performance optimisation techniques.

What’s in it for you

Opportunity to work on large-scale cloud data platforms within a global telecommunications environment.

Exposure to modern AWS-native data engineering technologies and architectures.

Collaboration with international stakeholders and cross-functional teams across multiple markets.

Opportunity to contribute to innovative proof-of-concept initiatives and data transformation programmes.

Experience working in a highly collaborative environment focused on continuous improvement, automation and operational excellence.

Exposure to global data governance, data quality and enterprise analytics practices.

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.