Addison Group
Overview
This range is provided by Addison Group. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base Pay Range
$50.00/hr - $70.00/hr Assignment Type
Assignment type:
4-5 Month Contract to Hire Compensation
Compensation:
$55/hr-$70/hr Work Schedule
Work Schedule:
Monday-Friday, 9:00am-5:00pm CST Responsibilities
We will need someone with experience running full QA data lifecycles in enterprise environments, specifically working within Databricks and Azure. This will include data integrity, validation of data ingestion, transformation, and loading processes (ETL/ELT). We also need experience in monitoring pipelines (SQL) to identify metadata drifts, schema changes, and/or transformation issues. This team will also engineer QA automation/testing around the enterprise reporting tools (Power BI) for the business as well. Governance and setting standardized processes around their data best?practices will also be key. Someone who is part of bigger teams and has helped create that structure will be a big plus. Tools & Technologies
Tools needed for this role will include Databricks (PySpark/Scala) for automation, CI/CD tools (ADO or Terraform), SQL/T?SQL, ETL testing, and working in a cloud environment (Azure or AWS). Any certifications or data architecture knowledge (data modeling, data warehousing, data design) is a plus. Qualifications 6+ Years of Data QA Engineering Databricks (PySpark, Spark, Scala) QA automation/testing of data models and pipelines (ETL, ELT, data processing, etc.) Cloud?based environments (Azure or AWS) Data Pipeline Architecture and CI/CD methodology SQL
Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Information Technology #J-18808-Ljbffr
This range is provided by Addison Group. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base Pay Range
$50.00/hr - $70.00/hr Assignment Type
Assignment type:
4-5 Month Contract to Hire Compensation
Compensation:
$55/hr-$70/hr Work Schedule
Work Schedule:
Monday-Friday, 9:00am-5:00pm CST Responsibilities
We will need someone with experience running full QA data lifecycles in enterprise environments, specifically working within Databricks and Azure. This will include data integrity, validation of data ingestion, transformation, and loading processes (ETL/ELT). We also need experience in monitoring pipelines (SQL) to identify metadata drifts, schema changes, and/or transformation issues. This team will also engineer QA automation/testing around the enterprise reporting tools (Power BI) for the business as well. Governance and setting standardized processes around their data best?practices will also be key. Someone who is part of bigger teams and has helped create that structure will be a big plus. Tools & Technologies
Tools needed for this role will include Databricks (PySpark/Scala) for automation, CI/CD tools (ADO or Terraform), SQL/T?SQL, ETL testing, and working in a cloud environment (Azure or AWS). Any certifications or data architecture knowledge (data modeling, data warehousing, data design) is a plus. Qualifications 6+ Years of Data QA Engineering Databricks (PySpark, Spark, Scala) QA automation/testing of data models and pipelines (ETL, ELT, data processing, etc.) Cloud?based environments (Azure or AWS) Data Pipeline Architecture and CI/CD methodology SQL
Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Information Technology #J-18808-Ljbffr