Data Engineer
  • Data engineering role
  • Data programmer – versed in Python, Spark, SQL – Pandas, PySpark, SparkSQL are all ideal.
  • Heavily immersed in Azure databricks, Azure DevOps, 100% Azure cloud environment. Exposure to how Azure development pipeline environments work, how to work within an Azure DevOps environment. Azure Data lake, knowledge of datafactory is a plus
  • Structured and unstructured data, managed instances of SQL,
  • Structured data, JSON objects, consume and manipulate those
  • NoSQL type skillset
  • Front end is expanded through databricks – long-term that may change.
  • SQL querying, some SQL programming, T-SQL does not come into play. Spark SQL
  • Customer facing, day to day interfacing with the client – customer service focused

Top Requirements:

  • Python – Pandas, native PySpark libraries ideally.
  • SQL – data reads and writes, SQL to pull data. Joins, reads, writes.
  • Spark
  • Azure – databricks ideally.
  • Databricks
  • Customer facing

Nice to have:

  • Azure Data Factory

Required Skills : This is a Jr-Mid level role. Please only send candidates with 2-5 years of experience. 100% Remote but must be located in EST or CST PySpark Python Spark SQL Azure Data Bricks
 

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Job Code
JPC - 151746
Posted Date
2023-02-16 11:36:03
Experience
5 year
Primary Skills
Python, Pyspark, SparkSQL, Azure Databricks, This is a Jr-Mid level role. Please only send candidates with 2-5 years of experience., 100% Remote but must be located in EST or CST
Salary
$53.35-$53.35

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