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Stefanini Group is hiring!
Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI
For quick apply, please reach out to Parul Singh at /
We are looking for Data Engineer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, in which employees develop all components of software-including the user interface and server side-also fall within this job function.
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.
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
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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