Data Engineer

Company: Globallogic
Location: Seattle
Posted on: January 17, 2022

Job Description:

Job Description:

• Support ML projects from strategy through implementation and on-going improvements.
• Perform data collection, analysis, validation, cleansing, developing software in support of multiple machine learning workflows, integrating / deployment of code in a large-scale production environments and reporting.
• Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and stored procedures.
• Extracts and analyzes data from various structured and unstructured sources, including databases, files, data lakes and external APIs/websites.
• Responds to data inquiries from various groups within clients organization.
• Requires experience with relational databases, document databases (NOSQL) and knowledge of query tools and/or statistical software.
• Responsible for other duties/projects as assigned by business management / leadership.
  Job Responsibilities:
  
  • Experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
  • Experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.
  • Experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
  • Experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and Onpremise environments
  • Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.)
  • Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations.
  • Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects.
  • Expertise with scaling pilot machine learning solutions to a large scale production environment
  • Expertise with visualization tools such as PowerBI, D3JS etc.
  • Excellent written and verbal communication skills.
    Education:
    
    • Bachelor's or Masters degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.by Jobble

Keywords: Globallogic, Seattle , Data Engineer, Engineering , Seattle, Washington