- 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:
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