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

Indotronix is an Equal Opportunity Employer