Job Description :
  • 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 : Python/PySpark Azure Data Bricks SQL Structured/Unstructured data experience
Basic Qualification :
Additional Skills :
Background Check :Yes
Notes :1 interview to hire 100% Remote - EST hours long-term contract that will continue to extend Interviews will be next week - week of 6/13
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :No
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Development/Engineering
Master Job Title :Big Data: Dev
Branch Code :Richmond
             

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