Advanced Technical Professional

1 week ago


ajmer, India beBeeDataSpecialist Full time

Technical Expertise for Data Engineering and AnalyticsThe role of the Data Specialist involves evaluating learners' technical proficiency in data engineering, analytics, and cloud data platforms. Comprehensive assessment is required across SQL, data pipeline development, data modeling, and visualization capabilities to provide actionable feedback that accelerates learner development.This specialist collaborates closely with trainers and cross-functional teams to uphold quality standards throughout the training lifecycle.About RevatureRevature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies and Government Contractors to identify experienced professionals who can be effective leaders.Key Responsibilities:Design and execute quality audit frameworks for professional training programsConduct structured technical interviews to evaluate learners' proficiency in SQL, data engineering principles, Databricks, Snowflake, and Power BIDevelop comprehensive assessments including quizzes and coding challenges and practical exercises to evaluate learners' understanding of the concepts and ability to apply them Review and validate coding challenges by validating SQL queries, Python scripts, and data transformation logic, ensuring adherence to best practices and industry standardsEvaluate end-to-end data engineering and analytics projects, including ETL/ELT pipelines, data models, and Power BI dashboardsDeliver clear, actionable feedback that identifies strengths and provides guidance for technical skill enhancementDocument assessment outcomes, interview insights, and performance trends systematicallyCollaborate with trainers to share insights on learner performance and work towards enhancing training outcomesRequired Skills and Qualifications:3–5 years of experience as a Data Engineer, Data Analyst, or comparable technical roleStrong proficiency in SQL, data modeling, and data analysisExperience with Databricks, Snowflake, and Power BI (experience with Tableau or Spark is an added advantage)Good understanding of ETL/ELT pipelines, DataOps, and data warehousing best practicesFamiliarity with Python or R for scripting, data validation, or analysisWorking knowledge of cloud platforms like AWS, Azure, or GCPStrong analytical thinking, attention to detail, communication, and coaching abilitiesEqual Opportunity Employer:We are an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other protected factors under applicable law.



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