Key skills
AzureCloudETLNoSQLPythonSDLCSQLTableauMachine LearningMLData LakeDatabricksStatistical AnalysisAzure DevOpsAzure SQLCosmos DBGitJiraAgileScrumCommunication
About this role
Role Overview
- Take ownership of end to end data quality
- Understand and Contribute to the event model design
- Build and automate testing frameworks around data ingestion pipelines.
- Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle.
- Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines.
- Track data issues and work with team leads from discovery to resolution.
- Collaborate with the analytic teams to conduct data quality investigations, improve automation and tools.
- Review current tools and enhance them to help with data integrity.
Requirements
- 5+ years of work experience in QA, preferably in data or relevant space
- Demonstrable knowledge, experience, skill, and proficiency with the following: Scrum/Agile methodologies, SDLC, Python (at least reading), SQL
- Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing
- Must be self-motivated, able to work independently, and thrive in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide variety of functional areas
- Excellent verbal and written communication skills
- Applied experience with Databricks and/or Azure ML (Preferred)
- Strong coding abilities in one or more scripting languages like Python or SQL (Preferred)
- Understanding of compliance, security, and risk domains along with associated patterns and data elements (Preferred)
- Use of one of the following vendor reporting solutions: PowerBI or Tableau (Preferred)
- Understanding of product and services activation, use, and transaction models and data (Preferred)
- Understanding of statistical analysis and machine learning tools and practices (Preferred)
- Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc (Preferred)
- Familiarity with Agile software delivery including application lifecycle management (Jira/Azure DevOps/VSTS, Git) (Preferred).
Tech Stack
- Azure
- Cloud
- ETL
- NoSQL
- Python
- SDLC
- SQL
- Tableau
Benefits
- All your information will be kept confidential according to EEO guidelines.