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Staff Data Engineer, Analytics

Posted 3 months agoViewed

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💎 Seniority level: Staff, 6+ years

📍 Location: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI

🔍 Industry: Food waste reduction and grocery technology

🏢 Company: Afresh👥 51-100💰 $115,000,000 Series B over 2 years agoArtificial Intelligence (AI)LogisticsFood and BeverageMachine LearningAgricultureSupply Chain ManagementSoftware

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: LeadershipPythonSQLSnowflakeAirflowData engineeringSparkCollaborationCI/CD

Requirements:
  • 6+ years of experience as a data engineer, analytics engineer, or similar role.
  • Strong understanding of advanced SQL concepts.
  • Exceptional communication and leadership skills.
  • 1+ years of experience with SQL-driven transform libraries supporting ELT, including CI/CD pipelines.
  • Expert knowledge of OLTP and OLAP database design.
  • Familiarity with data engineering concepts like Data Mesh, Data Lake, Data Warehouse.
  • Experience with semantic layer setup defined with code (LookML, Cube.dev, etc.).
  • Technologies: SQL, Python, Airflow, dbt, Snowflake/Databricks/BigQuery, Spark.
Responsibilities:
  • Improve and extend data analytics architecture for reliable data across use cases.
  • Collaborate with engineers, product managers, and data scientists to understand data needs.
  • Build dimensional models and metrics for consistent insights.
  • Evolve existing data quality and governance processes.
  • Mentor and up-skill other engineers.
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