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Data Engineer

2 months ago

Seattle, United States Smart IT Frame LLC Full time

Job Title: Azure Data Engineer

Remote

Working Hours: Mandatory PST hours

Contract


This is a 100% hands-on Data Engineer role, not a Lead/Architect position.

Must Have:

  • Data Engineer - 8-10 years experience
  • Azure: Expert - 8 years experience
  • ADF: Expert - 6 years experience
  • Data Bricks: Expert - 6 years experience
  • Spark (PySpark, SparkSQL): Expert - 6 years experience
  • Azure DevOps CI/CD - 4 years experience

Job descriptions for the Sr data engineering for DSnA support:

  • We operate in an Azure + Databricks Lakehouse. We’ll need a person with:
  • Azure experience – ADF for orchestration, ADLS for storage, AzureDevOps for CI/CD
  • Databricks experience – all compute/ETL leverages Databricks and is programmed leveraging Spark (PySpark, SparkSQL)
  • PowerShell experience – this is our scripting language of choice
  • SQL proficiency – it’s used everywhere (TSQL, PostgreSQL)
  • Proficiency with parquet and delta formats
  • Additionally – they will need experience in:
  • SDLC + CI/CD – we follow a standard deployment process (dev, test, prod) that includes peer reviewed code. They need to be comfortable with standard DevOps practices.
  • Should have a deep understanding of indexes and partitioning.
  • Should be proficient optimizing code for performance (able to read a DAG, determine where CBO is using most resources)
  • Should be proficient in writing code in a matter that it can run repeatedly and produce the same state (we have a custom SQL Deployment framework).