Master Data Architect

3 days ago


visakhapatnam, India beBeeData Full time

About the Role:We are seeking a highly skilled professional to fill a critical role in our organization. The Data Specialist will be responsible for evaluating 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 will collaborate closely with trainers and cross-functional teams to uphold quality standards throughout the training lifecycle.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 abilitiesBenefits:We offer a dynamic and inclusive work environment that values diversity and promotes growth opportunities. Our team is passionate about delivering exceptional results and making a meaningful impact in the industry.Equal Opportunity Employer:We are an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from qualified candidates who share our vision and values.



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