Senior Data Engineer

3 weeks ago

Fort Worth, United States System Soft Technologies Full time

Summary:

Works closely with Director of DE guiding best practices for data modeling, data warehousing and data ingestion.

  • Designs and implements dimensional data models and data warehousing features for business users and business processes.
  • Develops automated workflows, manages CICD for data engineering pipelines
  • Develops tooling to facilitate data product development, deployment, and monitoring.
  • Collaborates with data engineers, software engineers, business analysts, and data scientists to develop data pipelines/products and automation solutions
  • Creates and promotes best practices in data operations, including source to target, warehousing, and BI
  • Helps contribute to a collaborative, open developer environment
  • Leads improvements in methodology or initiatives to address capability gaps or increase efficiency
  • Offers advice and guidance to junior associates for sake of continuous improvement


Education:

  • Bachelor’s degree in computer science or a quantitative field.
  • Masters’ degree preferred.


Required experience:

  • Five (5) years of Data Engineering experience
  • Demonstrated experience with data and software engineering best practices and implementing data and software development lifecycles.
  • Demonstrated experience with designing and implementing data models (conceptual, logical, physical)
  • Demonstrated experience with implementing data ingestion/testing automation solutions.
  • Must have programming languages: SQL, Python
  • Nice to Have: Java, Scala.
  • Experience developing RESTful APIs
  • Experience with Docker/Kubernetes
  • Experience delivering and scaling data products in production


Technical skills / abilities:

  • In-depth experience with cloud technologies such as Snowflake, dbt, AWS, Airflow
  • Experience with modern data tools such as Spark, Kubernetes, Docker
  • Experience with micro-service architecture and web-services.
  • Working knowledge of data engineering pipelines, common data deployment pitfalls, and inherent complexities when managing data at scale
  • Experience using a data visualization tool like Looker, Tableau or PowerBI.


Personal skill/s:

  • Strong teamwork and collaboration skills.

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