Data Engineering Engineer

Job Role: Data Engineering Engineer

Job Location: Dearborn MI

Position Description:

• Employees in this job function are 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
  

Key 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
  

Skills Required:

• GCP Cloud Run KAFKA Cloud Architecture Software Development SQL Cloud Computing Big Data Big Query Application Development Google Cloud Platform Java Application Testing Agile Software Development Artificial Intelligence & Expert Systems Python API
  

Experience Required:

• Engineer 3 Exp: 7 years Data Engineering work experience
  

Education Required:

• Bachelors Degree
  

Additional Information:

• Spearhead 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 your full-stack skills to contribute to seamless end-to-end development ensuring smooth and reliable data flow from source to insight.
  
• Leverage your deep expertise in GCP services (BigQuery Dataflow Pub/Sub Cloud Functions etc.) to build and manage data platforms that not only meet but 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 our data platform and enhance our capabilities.
  
• Develop comprehensive documentation for data engineering processes promoting knowledge sharing facilitating collaboration and ensuring long-term system maintainability