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Data QA
Data QAAkaasa Technologies • United States
Data QA

Data QA

Akaasa Technologies • United States
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Data QA

Austin, TX

APPLE

  • 5-years of experience working as a Quality Engineer, Quality Analyst, Developer, or in quality-related roles
  • Advanced experience with SQL and Python, including performance tuning, and proficiency with at least one major data analytics platform like Snowflake
  • Experience in the development of custom ETL pipelines using Apache Airflow, Python, Pandas, APIs, etc.
  • Familiarity with version control systems (e.g., GIT), CI / CD practices, and testing and migration tools for databases and software

Description

This role is crucial for ensuring a high-quality Data as a Solution Platform at scale, encompassing data quality and operational efficiency. You will collaborate closely with data engineering, data science, and data infrastructure teams. Key responsibilities include testing, validating, and monitoring / supporting data platforms and data, optimizing existing solutions, and reporting service status. As our team grows, you will face exciting technical and business challenges.

We seek a proactive self-starter who learns quickly, adapts to changing requirements, and excels in diverse, collaborative environments. Responsibilities would include :

  • Deep dive into various financial data points in different sets of hierarchies, understanding the nuances of how complex data behaves
  • Document customer issues and recurring technical issues to support product quality programs and product development
  • Perform root cause analysis during failures and document scenarios for future references
  • Troubleshoot problems with malfunctioning software applications and able to recommend and take corrective action
  • Work closely with technical teams, Product Manager, and QA to ensure the stability and reliability of business systems
  • Execute test scenario's in a repeatable manner, allowing for easy monitoring
  • Communicating status updates to users and stakeholders concisely in a timely manner

    • Key Qualifications

  • 5+ years of experience working as a Quality Engineer, Quality Analyst, Developer, or in quality-related roles
  • Advanced experience with SQL and Python, including performance tuning, and proficiency with at least one major data analytics platform like Snowflake
  • 3+ years of experience in customer service roles with a focus on quality assurance in data-related products / platforms
  • Excellent oral and written communication skills, with the ability to translate tl details for end users
  • This is a continuous process as data environments are complex, interdependent, and constantly changing. To account for this, data quality engineers will monitor data quality by designing and deploying data testing at scale
  • Experience in monitoring daily operations for business systems, including performance, data loads, provisioning, and network traffic
  • Experience in test strategy, planning, and execution, including functional and non-functional testing
  • Experience in the development of custom ETL pipelines using Apache or Airflow, and Python, Pandas, APIs, etc.
  • Proficiency with data visualization tools (Tableau)
  • Familiarity with version control systems (e.g., GIT), CI / CD practices, and testing and migration tools for databases and software
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