Data Engineer
20 hours ago
Role summaryBuild robust, scalable data pipelines and platforms that deliver clean, reliable, and timely data for analytics and AI.Key responsibilitiesDesign ELT or ETL pipelines and orchestrate with Airflow or Prefect.Model data for analytics, implement CDC, and manage schemas.Add data quality tests, lineage, and cataloging.Tune warehouses for performance and cost.Secure data with role-based access and compliance controls.Minimum qualifications3+ years in data engineering with strong SQL and Python.Experience with BigQuery or Snowflake or Redshift and an orchestrator.Version control and CI for data.Basic understanding of dbt or similar transformation frameworks.PreferredStreaming with Kafka or pub / sub.Terraform and cloud data services.Great Expectations or similar testing frameworks.Tools and stackAirflow or Prefect, dbt, Kafka or Pub / Sub, Python, SQL, Terraform, Great Expectations, BigQuery or Snowflake or Redshift, Looker or Power BI as downstream.KPIs / success metricsPipeline SLA and reliability, data quality scores, cost per terabyte, time to data availability.Initial screening questionsHow would you design CDC from a high-volume OLTP source into a warehouse?How do you validate models and prevent schema drift?Show how you balance cost and performance for a slowly changing dimension.Optional skills taskBuild an ELT pipeline with dbt models and tests on a sample dataset, then generate lineage docs.Career pathSenior Data Engineer Staff Data Engineer Platform or Data Architecture Lead.Job Type :Full-timeWork Location :On the road
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