Data Engineering and Analytics Professional

1 day ago

Gandhinagar, India beBeeData Full time

Data Engineering and Analytics SpecialistAbout the Role:This position involves evaluating learners' technical proficiency in data engineering, analytics, and cloud data platforms. The Data Engineering and Analytics Specialist assesses comprehensive knowledge across SQL, data pipeline development, data modeling, and visualization capabilities. Providing actionable feedback to accelerate learner development is a key responsibility.About Our Organization:Our organization partners with Fortune 500 companies and government contractors to identify experienced professionals who can be effective leaders.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 BI.Develop 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 standards.Evaluate end-to-end data engineering and analytics projects, including ETL/ELT pipelines, data models, and Power BI dashboards.Deliver clear, actionable feedback that identifies strengths and provides guidance for technical skill enhancement. Document assessment outcomes, interview insights, and performance trends systematicallyCollaborate with trainers to share insights on learner performance and work towards enhancing training outcomes.Experience and Skills Required:3–5 years of experience as a Data Engineer, Data Analyst, , or comparable technical role.Strong proficiency in SQL, data modeling, and data analysis.Experience 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 practices.Familiarity with Python or R for scripting, data validation, or analysis.Working knowledge of cloud platforms like AWS, Azure, or GCP.Strong analytical thinking, attention to detail, communication, and coaching abilities.We are committed to providing equal opportunities for all individuals and welcomes applicants from diverse backgrounds.

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