Job Description :

Job Title: ML + GCP Data Engineer

Work Location Dallas TX OR LA CA

 

Skills

Data Science & Data Engineering.

Python,

Machine Learning,

GCP Suite,

Apache Airflow,

BigQuery,

SQL Server,

GitHub.

 

Responsibilities:

  • Develop and implement robust, scalable, and efficient data pipelines for collecting, processing, and analyzing large volumes of structured and unstructured data using Google cloud technologies such as BigQuery, DataFlow, etc.
  • Design, develop, and deploy machine learning models.
  • Perform data cleaning, feature engineering, and data transformation tasks to prepare data for analysis and modelling.
  • Implement and maintain data engineering best practices, ensuring data quality, reliability, and performance.
  • Conduct code reviews, provide constructive feedback, and mentor junior team members to enhance their technical skills.
  • Stay up to date with the latest advancements in machine learning, data engineering, and related technologies, and evaluate their potential impact on our products and solutions.

Skills/Requirements:

  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field with 5+ years’ experience
  • Solid experience in developing and deploying machine learning models and data pipelines.
  • Strong background in data engineering, including data preprocessing, feature engineering, and ETL pipelines.
  • Proficiency in programming Python (also Java experience preferred)
  • Strong understanding of machine learning algorithms, statistical modelling, and data mining techniques.
  • Experienced in Pandas, Numpy, Tensorflow/Keras, and other ML libraries in Python.
  • Familiarity with Apache Airflow workflow management tool
  • Knowledge of Google cloud platform and services such as BigQuery, DataFlow,
  • Familiarity with relational and NoSQL databases, SQL, and data warehousing concepts.

 

             

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