Data Engineer

Hybrid in Santa Monica, CA, US • Posted 17 hours ago • Updated 17 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • Spark
  • Pyspark
  • AWS
  • Databricks
  • Airflow
  • SQL
  • Snowflake
  • ETL

Summary

Role: Sr. Data Engineer

Location: Hybrid - City New York United States (USA) / Seattle United States (USA) / Santa Monica United States (USA) / San Francisco United States (USA)
Duration: Full Time / Direct Hire

Need 12+ Years of Experience 

Mandatory skills: Data Engineer, Python, Spark, Azure Databricks, Snowflake, complex Sql query, AWS, Airflow

Nice to have skills: 

  • Familiarity with tools like Datorama / Improvado / FiveTran for integrating, harmonizing, and visualizing data across platforms.
  • Data Modeling (e.g., Dimensional Modeling)
  • Experience working with Kafka
  • Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, etc.) & Docker containers
  • Exposure to monitoring tools like Datadog

Responsibilities:

  • Partner with technical and non-technical colleagues to understand data and reporting requirements
  • Work with engineering teams to collect required data from internal and external systems
  • Design table structures and create data pipelines to build performant data solutions that are reliable and scalable in a fast growing data ecosystem
  • Develop automated data quality checks
  • Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
  • Perform ad hoc analysis as necessary.
  • Perform SQL and ETL tuning as necessary.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: prutx001
  • Position Id: 8943616
  • Posted 17 hours ago
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