Why This Role Stands Out
This on-site Data Engineer role at Stefanini offers a fantastic opportunity to build and maintain cutting-edge data solutions, directly impacting business insights and innovation. You'll thrive here if you have 5+ years of experience, a Master's degree, and a passion for designing scalable data infrastructure and pipelines using technologies like GCP and Python. Join a reputable company dedicated to developing top talent and apply today to advance your career!
Quick Overview
Job Description
Stefanini Group is hiring! Stefanini is looking for Data Engineer , Dearborn, MI
For quick apply, please reach out to Adil Khan at /
We are looking for Data Engineer who will be responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately. Key ResponsibilitiesSpearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.
Ensure data is standardized, high-quality, and optimized for analytical use. Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. Utilize full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight. Leverage deep expertise in Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms that meet and exceed business needs and expectations.
Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data. Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency. Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve the data platform and enhance capabilities. Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.
Skills RequiredGoogle Cloud Platform Cloud Run, Kafka, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, BigQuery, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API
Experience Required7+ years of data engineering work experience
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***
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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