QC Specialist - Data Specialist (Databricks / Snowflake / Power BI)

Description

Overview:
\n The Data Specialist evaluates learners’ technical proficiency in data engineering, analytics, and cloud data platforms. This role involves comprehensive assessment across SQL, data pipeline development, data modeling, and visualization capabilities, while providing actionable feedback to accelerate learner development. . The specialist collaborates closely with trainers and cross-functional teams to uphold quality standards throughout the training lifecycle.

Responsibilities:

• Design and execute quality audit frameworks for professional training programs
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• Conduct structured technical interviews to evaluate learners’ proficiency in SQL, data engineering principles, Databricks, Snowflake, and Power BI.
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• Develop comprehensive assessments including quizzes and coding challenges and practical exercises to evaluate learners’ understanding of the concepts and ability to apply them
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• Review and validate coding challenges by validating SQL queries, Python scripts, and data transformation logic, ensuring adherence to best practices and industry standards.
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• Evaluate end-to-end data engineering and analytics projects, including ETL/ELT pipelines, data models, and Power BI dashboards.
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• Deliver clear, actionable feedback that identifies strengths and provides guidance for technical skill enhancement.
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• Document assessment outcomes, interview insights, and performance trends systematically
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• Collaborate with trainers to share insights on learner performance and work towards enhancing training outcomes.
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Experience and Skills Required:

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• 3–5 years of experience as a Data Engineer, Data Analyst, , or comparable technical role.
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• Strong proficiency in SQL, data modeling, and data analysis.
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• Experience with Databricks, Snowflake, and Power BI (experience with Tableau or Spark is an added advantage).
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• Good understanding of ETL/ELT pipelines, DataOps, and data warehousing best practices.
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• Familiarity with Python or R for scripting, data validation, or analysis.
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• Working knowledge of cloud platforms like AWS, Azure, or GCP.
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• Strong analytical thinking, attention to detail, communication, and coaching abilities.
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Who We Are

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Revature is a tech career launch pad and the largest employer of entry-level technology talent in the U.S. The company works with Fortune 500 companies, government organizations, and top systems integrators to grow their business by hiring, training, and deploying top tech talent.

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Our mission is to create a pathway for candidates from diverse experiences and educational backgrounds to reach their potential as technology professionals. Alumni of the Revature program work on innovative, challenging, and rewarding software development projects across the United States.

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Revature has trained over 7000 software engineers across 54 technical disciplines, recruited talent from 700 universities, and deployed them to blue-chip companies throughout the U.S. We have proudly committed to training 1 million developers over the next decade, helping to close the opportunity gap in tech and supporting the future of work.