Data Engineer
On-siteNew York City, New York, United States or New York, United States
Job Summary
Process large and complex raw data sets to build workflows for optimal extraction, transformation, and loading into Google BigQuery. Reframe newsroom and business objectives as machine learning tasks to deliver actionable insights and effective optimization. Implement and execute machine learning research with reliability, turning models into data products integrated throughout Hearst Newspaper. Collaborate with the BI team to create Looker reports utilizing the data pipeline for key business performance metrics. This heavy hands-on role involves proposing and building data-related products using ML, cloud machine learning APIs, or deep learning to promote business efficiency.
Required Qualifications
- MS, PhD or 4+ years' experience in computer science, applied mathematics, or other quantitative/computational discipline
- Familiar with different types of machine learning algorithms
- Experience building and deploying a machine learning system into production
- Data engineering experience, including SQL and manipulating large raw data for analysis
- Experience building and optimizing data pipelines and architectures
- Build processes supporting data extraction, transformation and loading to big data system
- Candidate is Required to travel to Client's offices
Desired Qualifications
- Experience with relational SQL and NoSQL databases, including Postgres and SQL server
- Experience working with unstructured data and Natural Language Processing
- Experience with data pipeline and workflow management tools: Airflow, Luigi, etc
- Experience with Google or AWS cloud services
- Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc
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