Data Engineer

Stefanini Group • Dearborn, MI

5d • Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out Lovkesh Bharti at 248-727-2506 / [email protected] You will be responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately 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 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. #LI-LK1 #LI-ONSITE

Requirements

• 4+ Years of experience in Data Engineering
• Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query
• Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow
• Skilled in Data Analytics, Data Warehousing, Data Modeling

Nice To Haves

• Experience in GCP Cloud Services

Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements
• Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
• Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
• Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
• Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
• Ensure optimum performance and identify improvement opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees