Technical Lead – Data Engineering

17 hours ago

amravati, India beBeeDataSpecialist Full time

About This Role:The Data Specialist is accountable for evaluating learners' technical proficiency in data engineering, analytics, and cloud data platforms. This position requires comprehensive assessment across SQL, data pipeline development, data modeling, and visualization capabilities, while providing actionable feedback to accelerate learner development.This specialist collaborates closely with trainers and cross-functional teams to uphold quality standards throughout the training lifecycle.About Our Organization:We are a leading provider of technology talent solutions, partnering with Fortune 500 companies, System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.Responsibilities:Develop 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.Create 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.Requirements: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.Equal Opportunity Employer:We are committed to diversity and inclusion, and 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 status protected under applicable federal, state, or local laws.

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