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# Google Cloud Platform Data Engineer

- **Company:** Stefanini
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Software Applications, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Databases, Data as a Services, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Apache Hadoop, Python (Programming Language), Machine Learning, Software Architecture, Standard Sql, Data Streaming, Data Processing, Google Cloud, Azure Data Factory, Apache Spark, Backend, Git, Data Lakes, Kubernetes, AWS Glue, Google Bigquery, Apache Kafka, Data Management, Software Version Control, Data Pipelines, Docker, Service Stack, Amazon Redshift, Databricks, Microservices
- **Published:** July 30, 2026
- **Apply:** https://www.dice.com/job-detail/f044cdea-4d06-4e1e-96ae-145340fade57

## About the Role

Required SkillsNoSQL, Kubernetes, Kafka, Google Cloud Platform, Cloud Architecture, Data Architecture, Big Data, Cloud Infrastructure, Apache Spark, BigQuery, Apache Hadoop, Java, Docker, Python, Data Management

Preferred SkillsGitHub, Machine Learning

Required Experience5+ years of progressive experience in data engineering or a related role, with a significant focus on large-scale data systems.Expert proficiency in programming languages such as Python or Scala.Advanced SQL skills for complex querying, data manipulation, and database design.Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink.Proven experience with cloud platforms, including AWS, Azure, or Google Cloud Platform, and their data services, such as: AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and DataflowStrong understanding of data warehousing concepts, data modeling including dimensional and relational models and ETL/ELT processes.Experience with version control systems such as Git.

Education RequiredBachelor's Degree

## Description

Key ResponsibilitiesOversee and contribute to the design, development, and implementation of complex, scalable, and resilient data architectures, including data warehouses, data lakes, and streaming platforms.Lead the creation, maintenance, and optimization of advanced ETL/ELT processes and data pipelines to ingest, transform, and deliver large volumes of data from diverse sources. Ensure data integrity, quality, and performance across all data flows.Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, and related components.Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application.Define and implement software test strategies, guidelines, policies, and processes in line with organizational vision, industry regulations, and market best practices.Continuously improve performance, optimize applications, and implement new
technologies to maximize development efficiency.Develop and maintain back-end applications such as APIs and microservices using server-side languages.


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