Data Engineer (GCP) - VOIS Job at Vodafone (Pune)

Data Engineer (GCP) - VOIS

We are seeking a skilled Data Engineer to design, build and maintain scalable da...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Hold a Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field
Experienced with SQL and NoSQL databases
Knowledgeable in data warehousing concepts and industry best practices
Familiar with data integration tools and frameworks
Demonstrate strong problem-solving and analytical capabilities
Communicate clearly and collaborate effectively with diverse teams
Comfortable working in a dynamic, fast-paced environment

Job Responsibility

Design, develop and maintain scalable data pipelines and ETL processes using GCP services including BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Functions and Cloud Run
Collaborate with data scientists, analysts and business stakeholders to understand data requirements and deliver robust data solutions
Implement data integration solutions to ingest, process and store structured and unstructured data from multiple sources
Optimise and tune data pipelines for performance, reliability and cost efficiency
Ensure data quality through validation, cleansing and transformation processes
Develop and maintain data models, schemas and metadata to support analytics and reporting needs
Monitor, troubleshoot and resolve data pipeline issues to minimise disruption
Stay current with GCP technologies and best practices, recommending improvements where appropriate
Mentor junior data engineers and promote a collaborative, knowledge-sharing culture

What we offer

Opportunity to work on modern, cloud-native data platforms using Google Cloud technologies
Exposure to enterprise-scale data engineering challenges across diverse business domains
A collaborative environment that values continuous improvement and shared learning
The ability to influence data quality, performance and analytics outcomes across teams

Fulltime

Data Engineer (GCP) - VOIS

We are seeking a Data Engineer with strong expertise in GCP BigQuery, Data Fusio...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Hold a Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field
Experienced with SQL and NoSQL databases
Knowledgeable in data warehousing concepts and industry best practices
Familiar with data integration tools and frameworks
Demonstrate strong problem-solving and analytical capabilities
Communicate clearly and collaborate effectively with diverse teams
Comfortable working in a dynamic, fast-paced environment

Job Responsibility

Design, develop and maintain data solutions using GCP services such as BigQuery, Data Fusion, Cloud Storage, Cloud Functions, App Engine and Cloud Run
Write, debug and optimise complex SQL and PL/SQL queries to process and analyse large-scale datasets
Collaborate with data engineers and stakeholders to process and manage large volumes of structured data
Ensure best practices are followed for performance, security, scalability and reliability of cloud-based data applications
Develop and maintain unit tests and technical documentation to ensure code quality and long-term maintainability
Troubleshoot and resolve issues in cloud-based data applications and services in production environments
Apply cloud-native development principles and modern data engineering practices
Contribute to continuous improvement initiatives within data warehousing and analytics platforms

What we offer

Opportunity to work on modern, cloud-native data platforms using Google Cloud technologies
Exposure to enterprise-scale data engineering challenges across diverse business domains
A collaborative environment that values continuous improvement and shared learning
The ability to influence data quality, performance and analytics outcomes across teams

Data Engineer (GCP) - VOIS

We are seeking a skilled Data Engineer to design, build and maintain scalable da...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Hold a Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field
Experienced with SQL and NoSQL databases
Knowledgeable in data warehousing concepts and industry best practices
Familiar with data integration tools and frameworks
Demonstrate strong problem-solving and analytical capabilities
Communicate clearly and collaborate effectively with diverse teams
Comfortable working in a dynamic, fast-paced environment

Job Responsibility

Design, develop and maintain scalable data pipelines and ETL processes using GCP services including BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Functions and Cloud Run
Collaborate with data scientists, analysts and business stakeholders to understand data requirements and deliver robust data solutions
Implement data integration solutions to ingest, process and store structured and unstructured data from multiple sources
Optimise and tune data pipelines for performance, reliability and cost efficiency
Ensure data quality through validation, cleansing and transformation processes
Develop and maintain data models, schemas and metadata to support analytics and reporting needs
Monitor, troubleshoot and resolve data pipeline issues to minimise disruption
Stay current with GCP technologies and best practices, recommending improvements where appropriate
Mentor junior data engineers and promote a collaborative, knowledge-sharing culture

What we offer

Opportunity to work on modern, cloud-native data platforms using Google Cloud technologies
Exposure to enterprise-scale data engineering challenges across diverse business domains
A collaborative environment that values continuous improvement and shared learning
The ability to influence data quality, performance and analytics outcomes across teams

Fulltime

Gcp Data Engineer - Vois

We are seeking a cloud-focused data professional who will contribute to the desi...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experienced in working with GCP services, particularly BigQuery, Data Fusion and Cloud Composer
Proficient in SQL and experienced in database development and optimisation
Comfortable working with both SQL and NoSQL database systems
Familiar with data processing frameworks and cloud-native development principles
Able to work collaboratively across teams and communicate technical concepts clearly
Committed to writing clean, testable and well-documented code

Job Responsibility

Write, optimise and debug complex SQL queries and procedural database logic within GCP BigQuery environments
Build, deploy and maintain GCP-based infrastructure using services such as Cloud Functions, App Engine and Cloud Run
Collaborate with data engineering teams to process and manage large datasets using BigQuery and Cloud Storage
Apply best practices for performance optimisation, security and scalability across cloud-based applications
Develop unit tests and maintain clear technical documentation to support long-term maintainability and code quality
Troubleshoot and resolve issues in cloud-based applications and services within production environments
Contribute to cloud-native development approaches and continuous improvement of data platforms

What we offer

Opportunity to work on enterprise-scale cloud and data platforms within a global organisation
Exposure to modern GCP services and data engineering tools in real-world production environments
A collaborative and inclusive culture that values learning, knowledge sharing and continuous improvement
The chance to contribute to solutions that support large-scale business transformation initiatives

Fulltime

New

Data Engineer (GCP & ETL) - VOIS

We are seeking a Data Engineer with hands-on experience in Google Cloud Platform...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

4–7 years of experience in data engineering or a closely related role
Strong proficiency in GCP services, including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Hands-on experience with enterprise ETL tools such as Ab Initio or ODI
Solid knowledge of Unix and SQL, with exposure to Teradata environments
Working knowledge of Python is an advantage

Job Responsibility

Design, develop, test, and maintain scalable and reliable data pipelines and software systems
Collaborate with cross-functional stakeholders to gather, analyse, and understand data requirements
Implement and manage ETL processes using tools such as Ab Initio or Oracle Data Integrator (ODI)
Work extensively with GCP services including BigQuery, Dataproc, Data Fusion, and Cloud SQL
Write, optimise, and maintain SQL queries for efficient data extraction and transformation
Ensure data quality, consistency, integrity, and performance across data platforms
Monitor, troubleshoot, and resolve data workflow and system issues to maintain operational stability

What we offer

Opportunity to work on enterprise-scale data platforms within a global organisation
Exposure to modern cloud-based data engineering solutions and large, complex datasets
A collaborative, inclusive, and learning-focused work environment
The chance to contribute directly to data-driven transformation initiatives across Vodafone markets

Fulltime

Data Engineer - GCP, Python & BigQuery - VOIS

We are seeking a Data Engineer with strong expertise in GCP BigQuery, Data Fusio...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

7–10 years of relevant experience in data engineering or data warehousing roles
Strong proficiency in SQL and PL/SQL, particularly within GCP BigQuery environments
Hands-on experience with GCP services such as BigQuery and Data Fusion, with working knowledge of other GCP components
Understanding of data warehousing concepts, database systems (SQL and NoSQL) and data processing frameworks
Exposure to Python for data processing or cloud-based development
Strong problem-solving, debugging and analytical skills
Clear communication and effective collaboration within cross-functional teams
Graduate or postgraduate degree in a technical discipline, preferably Engineering

Job Responsibility

Design, develop and maintain data solutions using GCP services such as BigQuery, Data Fusion, Cloud Storage, Cloud Functions, App Engine and Cloud Run
Write, debug and optimise complex SQL and PL/SQL queries to process and analyse large-scale datasets
Collaborate with data engineers and stakeholders to process and manage large volumes of structured data
Ensure best practices are followed for performance, security, scalability and reliability of cloud-based data applications
Develop and maintain unit tests and technical documentation to ensure code quality and long-term maintainability
Troubleshoot and resolve issues in cloud-based data applications and services in production environments
Apply cloud-native development principles and modern data engineering practices
Contribute to continuous improvement initiatives within data warehousing and analytics platforms

What we offer

Opportunity to work on enterprise-scale data platforms using modern GCP technologies
Exposure to global analytics programmes and shared services delivery models
A collaborative environment that values process improvement, quality and innovation
The chance to influence data reliability, performance and analytics outcomes

Data Engineer - VOIS

We are seeking a Data Engineer to design, build, and maintain scalable and relia...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

4 to 6yrs experienced data engineering professional with strong hands‑on exposure to big data processing
Skilled in distributed data processing frameworks with a solid understanding of performance optimisation
Experienced in designing robust, scalable, and maintainable data architectures
Proficient in Scala programming and advanced SQL for complex data transformations and analytical queries
Hands‑on with Apache Spark and big data ecosystems, including Cassandra and Redis
Experienced with GCP services such as BigQuery, Cloud Composer, and Cloud Storage
Comfortable working in multi‑cloud environments, with exposure to OCI considered an advantage
A collaborative communicator with strong problem‑solving skills and a focus on data quality and reliability
German language proficiency is desirable

Job Responsibility

Build, maintain, and optimise scalable and reliable data pipelines for analytics and downstream data consumption
Design and develop ETL/ELT processes using Scala, SQL, and Apache Spark for large‑scale data processing
Work with distributed systems and big data technologies to process high‑volume datasets efficiently
Leverage cloud‑native data services on GCP and support workloads on OCI where required
Ensure data quality, performance, availability, and reliability across all data pipelines
Collaborate with analytics, data science, and product teams to deliver clean, well‑structured, and consumable datasets

What we offer

Opportunities to work on large‑scale, cloud‑based data platforms with global impact
Exposure to complex data engineering challenges across multi‑cloud environments
Collaboration with diverse, cross‑functional teams across analytics, data science, and product domains
A supportive environment that values learning, inclusion, and continuous improvement

Fulltime

Data Engineer - VOIS

We are seeking an experienced Data Engineering Specialist with strong hands-on e...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong expertise in Databricks on GCP including Delta Lake, notebooks/jobs, Unity Catalog, and cluster policies
Experienced in Cloud Data Fusion design, including pipeline management, error handling, and orchestration
Skilled in Dataproc Spark with experience building PySpark jobs, configuring ephemeral clusters, and handling initialisation actions
Proficient in Python for data engineering including packaging, unit testing, type hints, and linting
Strong SQL skills, specifically with BigQuery including performance tuning, partitioning, and clustering
Familiar with GCP services such as Cloud Storage, Pub/Sub, and Cloud Composer/Airflow
Holds a qualification such as B.E., B.Tech, BCA, MCA, BSc, or MSc in Computer Science or a related field.

Job Responsibility

Design and build data pipelines on GCP using Databricks (Delta Lake and Unity Catalog) for orchestration, Dataproc for Spark execution, supporting both ETL/ELT and feature engineering workloads
Engineer declarative, modular, and reusable pipelines in Python, following configuration-as-code principles and CI/CD practices including Git-based promotion, testing, and deployment
Implement and maintain data quality and observability practices using validation frameworks, logging, metrics, and alerts
Optimise pipeline performance, reliability, and cost through techniques such as cluster sizing, auto-termination, Z-ordering, caching, and partitioning strategies
Apply robust error handling, parameterisation, and triggers within Cloud Data Fusion pipelines
Ensure operational excellence by maintaining monitoring, performance tuning, and continuous improvements across data products and workloads.

What we offer

The opportunity to build and scale data solutions using leading GCP and Databricks technologies
Exposure to enterprise-level CI/CD, observability, and configuration-as-code practices
A collaborative environment where innovation, continuous learning, and technical excellence are encouraged
The chance to contribute to high-impact global data platforms.

Fulltime

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Data Engineer (GCP) - VOIS

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