Data Engineer - Gcp & Bigquery Job at Vodafone (Pune)

Senior Data & AI/ML Engineer - GCP Specialization Lead

We are on a bold mission to create the best software services offering in the wo...

Location

United States , Menlo Park

Salary:

Not provided

techjays

Expiration Date

Until further notice

Requirements

GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI
ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow
Programming: Python & SQL
MLOps: CI/CD for ML, Model deployment & monitoring
Infrastructure-as-Code: Terraform
Data Engineering: ETL/ELT, real-time & batch pipelines
AI/ML Tools: TensorFlow, scikit-learn, XGBoost
Min Experience: 10+ Years

Job Responsibility

Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage
Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines
Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry
Define and implement data governance, lineage, monitoring, and quality frameworks
Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions
Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP
Contribute to building repeatable solution accelerators in Data & AI/ML
Work with the leadership team to align with Google Cloud Partner Program metrics
Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning
Organize and lead internal GCP AI/ML enablement sessions

What we offer

Best in class packages
Paid holidays and flexible paid time away
Casual dress code & flexible working environment
Medical Insurance covering self & family up to 4 lakhs per person

Gcp Data Engineer

We at AlgebraIT are looking for a GCP Data Engineer with 3+ years of experience ...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering with GCP
Proficiency in Python, SQL, and GCP services
Experience with data pipeline orchestration tools
Strong problem-solving abilities and attention to detail
Bachelor’s degree in Computer Science or related field

Job Responsibility

Build and maintain scalable data pipelines using GCP tools
Ensure data security and governance
Monitor, troubleshoot, and optimize data workflows
Collaborate with stakeholders to gather requirements and deliver data solutions
Implement data quality checks and best practices
Develop and maintain ETL processes
Create detailed documentation of data processes
Work closely with data analysts and business teams for data alignment
Ensure high availability and reliability of data services
Stay current with GCP data technology advancements

Fulltime

Senior Data Engineer

Senior Data Engineer role in Data & Analytics, Group Digital to build trusted da...

Location

Spain , Madrid

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

5+ years of hands-on building production data systems
Experience designing and operating batch and streaming pipelines on cloud platforms (GCP preferred)
Proficiency with tools like BigQuery, Dataflow/Beam, Pub/Sub (or Kafka), Cloud Composer/Airflow, and dbt
Fluent in SQL and production-grade Python/Scala for data processing and orchestration
Understanding of data modeling (star/snowflake, vault), partitioning, clustering, and performance at TB-PB scale
Experience turning ambiguous data needs into robust, observable data products with clear SLAs
Comfort with messy external data and geospatial datasets
Experience partnering with Data Scientists to productionize features, models, and feature stores
Ability to automate processes, codify standards, and champion governance and privacy by design (GDPR, PII handling, access controls)

Job Responsibility

Build Expansion360, the expansion data platform
Architect and operate data pipelines on GCP to ingest and harmonize internal and external data
Define canonical models, shared schemas, and data contracts as single source of truth
Enable interactive maps and location analytics through geospatial processing at scale
Deliver curated marts and APIs that power scenario planning and product features
Implement CI/CD for data, observability, access policies, and cost controls
Contribute to shared libraries, templates, and infrastructure-as-code

What we offer

Intellectually stimulating, diverse, and open atmosphere
Collaboration with world-class peers across Data & Analytics, Product, and Engineering
Opportunity to create measurable, global impact
Modern tooling on Google Cloud Platform
Hardware and OS of your choice
Continuous learning (aim to spend ~20% of time on learning)
Flexible, friendly, values-led working environment

Fulltime

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

85000.00 - 150000.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or another related technical field Required
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred
2+ years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Required
6+ years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics Required
Expert knowledge on SQL and Python programming
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed
Experience in tuning queries for performance and scalability
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar
Excellent organizational, prioritization and analytical abilities
Have proven experience working in incremental execution through successful launches

Job Responsibility

Work closely with various business, IT, Analyst and Data Science groups to collect business requirements
Design, develop, deploy and support high performance data pipelines both inbound and outbound
Model data platform by applying the business logic and building objects in the semantic layer of the data platform
Optimize data pipelines for performance, scalability, and reliability
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata
Troubleshoot and resolve data engineering issues as they arise
Develop REST APIs to expose data to other teams within the company

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays

Fulltime

Senior Data Engineer

Senior Data Engineer role at UpGuard supporting analytics teams to extract insig...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience with data sourcing, storage and modelling to effectively deliver business value right through to BI platform
AI first mindset and experience scaling an Analytics and BI function at another SaaS business
Experience with Looker (Explores, Looks, Dashboards, Developer interface, dimensions and measures, models, raw SQL queries)
Experience with CloudSQL (PostgreSQL) and BigQuery (complex queries, indices, materialised views, clustering, partitioning)
Experience with Containers, Docker and Kubernetes (GKE)
Familiarity with n8n for automation
Experience with programming languages (Go for ETL workers)
Comfortable interfacing with various APIs (REST+JSON or MCP Server)
Experience with version control via GitHub and GitHub Flow
Security-first mindset

Job Responsibility

Design, build, and maintain reliable data pipelines to consolidate information from various internal systems and third-party sources
Develop and manage comprehensive semantic layer using technologies like LookML, dbt or SQLMesh
Implement and enforce data quality checks, validation rules, and governance processes
Ensure AI agents have access to necessary structured and unstructured data
Create clear, self-maintaining documentation for data models, pipelines, and semantic layer

What we offer

Great Place to Work certified company
Equal Employment Opportunity and Affirmative Action employer

Fulltime

Data Engineer - Gcp & Bigquery

Vodafone

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 24, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Engineer - Gcp & Bigquery

Senior Data & AI/ML Engineer - GCP Specialization Lead

Gcp Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineering & Analytics Lead

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer - Gcp & Bigquery

Vodafone

Location:India , Pune

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:April 24, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Engineer - Gcp & Bigquery

Senior Data & AI/ML Engineer - GCP Specialization Lead

Gcp Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineering & Analytics Lead

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
April 24, 2026