Data Engineer with GCP Job at We Are Meta (Porto)

New

QA Automation Engineer with GCP

The ideal candidate is an excellent tester, effective communicator, comfortable ...

Location

Romania , Bucuresti

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
Minimum of 3-5 years of hands-on experience in software testing, with a strong, demonstrated focus on complex data-centric projects and backend systems
Expertise in Database Testing: Strong, hands-on experience testing Oracle Databases is mandatory. This includes Data Integrity & Quality Validation, Database Objects Testing, Source-to-Target Validation, and Advanced SQL skills
Cloud Data Platform Experience: Proven experience or strong familiarity with Google Cloud Platform (GCP) services (BigQuery, Dataflow, Cloud Storage, Pub/Sub) and ability to test applications and data pipelines deployed on GCP
Test Automation & Programming Skills: Solid programming skills in Java for developing robust and scalable test automation frameworks and scripts. Hands-on experience with tools like Selenium WebDriver, REST Assured, JUnit/TestNG leveraging Java
Proven experience with Agile methodologies and SDLC. Excellent knowledge of testing techniques (Black Box, White Box, System, Integration, Regression, Performance, Security). Hands-on experience with test management and defect tracking tools: HP ALM and JIRA
Excellent communication skills in English (both written and verbal)
Ability to work effectively under pressure with a pragmatic and delivery-focused attitude
Excellent teamwork, collaboration, and innovative problem-solving skills
Customer and service-oriented, with the ability to build effective working relationships with all stakeholders

Job Responsibility

Analyze business and technical requirements to gain a deep understanding of data flows, business logic, and system architecture, with a particular focus on database interactions and cloud integrations
Contribute to the creation and implementation of the overall Test Strategy and Test Plans, while taking ownership of defining specific, comprehensive test scenarios for data, application logic, and cloud components
Contribute to test effort estimation and proactively identify risks, particularly those related to data integrity, performance, and scalability on cloud platforms
Design, write, and maintain Test Cases to validate data integrity, transformation logic, and the accuracy of reporting outputs across various systems, including Oracle and GCP data services
Cover all aspects of testing, including functional, integration, regression, and End-to-End (E2E), with an emphasis on data-driven and API testing
Create and manage the test data required to validate complex scenarios, including large datasets for performance and stress testing in cloud environments
Rigorously execute testing activities, analyze, and document the results in detail, utilizing appropriate tools and frameworks (e.g., Java-based automation)
Identify, troubleshoot, and document defects in JIRA, providing clear and detailed information for the development teams, including steps to reproduce issues in complex data and cloud architectures
Retest corrections to ensure defects are fully resolved
Coordinate testing activities with internal teams, third-party vendors, and business users (UAT Support)

What we offer

New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you
A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families

Fulltime

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) - 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

We are seeking a skilled Data Engineer with strong expertise in Google Cloud Pla...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experienced in building and managing data pipelines on Google Cloud Platform
Proficient in BigQuery, Google Cloud Storage, Dataproc, and Cloud Composer
Strong hands-on skills in SQL, Python, Unix, and Spark
Comfortable analysing data quality issues and designing practical, sustainable solutions
Able to work collaboratively with cross-functional teams in a fast-paced, delivery-focused environment
Detail-oriented, with a strong focus on data reliability, performance, and operational stability

Job Responsibility

Engage with end users and business stakeholders to understand data requirements and contribute to ETL framework strategies
Design, build, and implement modern, scalable data solutions using Google Cloud Platform services
Automate manual processes to optimise data delivery, including orchestration workflows, logging, and alerting mechanisms
Analyse datasets to assess data quality, reusability, and integrity, and provide effective solutions to resolve data quality issues
Review reports and performance indicators to filter data and identify, troubleshoot, and correct code-related issues
Monitor daily data pipelines to ensure solution readiness, zero downtime, and rapid alerting in case of failures
Maintain and track audit tables to ensure consistency and reliability of data workflows
Perform reverse engineering of existing workflows to understand current functionality and support enhancements
Enhance and optimise existing GCP data pipelines to deliver stable, efficient, and scalable solutions
Collaborate with data science and machine learning teams, along with key stakeholders, to support business objectives

What we offer

Opportunity to work on large-scale, enterprise-grade data platforms within a global organisation
Exposure to modern cloud-native data engineering practices and emerging GCP technologies
Collaboration with diverse, international teams across data engineering, data science, and business domains
A culture that values continuous learning, improvement, and inclusive teamwork

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

GCP Data Engineer

We are seeking an experienced GCP Data Engineer to design, build, and operationa...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL and data modelling concepts
Hands-on experience with the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Looker, and related services
Practical experience with DBT, including model development, Jinja templating, and lineage generation
Solid understanding and implementation experience of Data Vault 2.0 concepts on cloud data warehouses
Around 6+ years of overall industry experience, with at least 2–4 years working on GCP, DBT, and Data Vault 2.0
Google Cloud Certified Professional Data Engineer certification is an advantage
Holds a recognised qualification such as B.E./B.Tech, BCA/MCA, or BSc/MSc in Computer Science or a related discipline
Demonstrates strong collaboration, problem-solving, and knowledge-sharing behaviours

Job Responsibility

Prepare low-level designs (LLD) aligned to high-level designs (HLD) defined by the project architect
Build, deploy, and operationalise data processing systems in line with approved designs
Develop and optimise data pipelines using GCP services such as BigQuery and Airflow
Apply standard and innovative cloud data pipeline patterns, working effectively within product constraints
Act as a subject matter expert in GCP data engineering, supporting and mentoring junior team members
Demonstrate continuous learning and apply new skills and technologies in day-to-day delivery
Manage small teams or projects end-to-end, from build through to closure, when required
Contribute to organisational improvements through process adoption, resource optimisation, and tooling enhancements
Actively contribute technical expertise to internal guilds and communities of practice

What we offer

Opportunity to work on enterprise-scale data platforms within a global organisation
Exposure to modern cloud data engineering practices and tools on Google Cloud Platform
A collaborative environment that values knowledge sharing, continuous improvement, and quality delivery
The chance to contribute beyond projects through guilds, process improvements, and tooling initiatives

Fulltime

Gcp Data Engineer

We are seeking a skilled GCP Data Engineer to join our Technology function withi...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong SQL expertise
Proficient in GCP ecosystem (BigQuery, Dataflow, Dataproc, Looker)
Experienced with DBT (model development, Jinja templating, lineage generation)
Knowledgeable in Data Vault 2.0
6+ years overall experience, at least 2-4 years focused on GCP, DBT, and Data Vault 2.0
B.E./B.Tech/BCA/MCA/BSc/MSc in Computer Science or related field
Google Cloud Certified Professional Data Engineer certification is advantageous
Collaborative, adaptable, committed to quality, timely delivery, policy adherence

Job Responsibility

Prepare Low Level Designs aligned with High Level Designs
Build, deploy, and operationalise robust data processing systems
Develop and optimise data pipelines using GCP services
Apply modern data pipeline patterns
Act as subject matter expert in GCP Data Engineering, supporting and mentoring junior team members
Apply learnings from new technologies to day-to-day delivery
Lead small teams or projects end-to-end
Contribute to organisational efficiency through process adoption, resource optimisation, tooling improvements
Actively contribute technical expertise to internal guilds and communities of practice

What we offer

Exposure to large-scale enterprise-grade data platforms
Opportunities to work on modern cloud data engineering solutions
Collaborative environment valuing learning and continuous improvement
Chance to influence data engineering practices and contribute to technical communities

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

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Data Engineer with GCP

Job Description

Requirements

What we offer

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