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Responsibilities:

  • End-to-End Pipeline Engineering: Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into our Snowflake Data Cloud.
  • Cloud Infrastructure: Manage and optimize data flows within an AWS environment (S3, Lambda, IAM), ensuring high availability, security, and cost-efficiency.
  • High-Scale Processing: Leverage Databricks and Python (PySpark) to handle complex transformations and high-volume data processing.

Qualifications:

  • Data Warehousing: Expert-level proficiency in Snowflake (clustering, Snowpipe, streams, and tasks) or similar Cloud Data Warehouses.
  • Analytics Engineering: Advanced mastery of dbt and complex SQL transformation logic, with specific experience in building Semantic Models and metric definitions.
  • Big Data Code: Strong Python skills and hands-on experience with Databricks for Spark-based orchestration.

Culture and Benefits:

  • Competitive compensation, plus all full-time employees participate in our ownership program.
  • Generous time off, including local holidays and annual “Dim the Lights” period.
  • Comprehensive wellness programs, mental health support, and learning resources.

Instructure Inc.

Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.

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