Analytics Engineer - Contractor

December 5

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Amplify

K-12 education • Mobile classroom assessment software • Common Core State Standards (CCSS) implementation • Digital and print curriculum development • Educational staff development and training

1001 - 5000 employees

Founded 2000

📚 Education

💰 Series C on 2023-05

Description

• Build well-tested and documented ELT data pipelines for both full and incremental dbt models to funnel into a fact and dimensional data mart. • Work closely with sales on logistics pipeline forecasting and sales pipeline tracking to help focus our sales teams in the right areas for the biggest impact. • Align with finance on making sure we have well audited data inline with established financial best practices. • Engineer novel datasets which express a student's progress and performance through an adaptive learning experience which allows for flexible comparison across students and deep analysis of individual students. • Work with the data science team to measure the impact of design changes on an administrator reporting application. • Contribute to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI. • Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes.

Requirements

• BS in Computer Science, Data Science, or equivalent experience. • 3+ years of professional software development or data engineering experience. • Strong computer, data, and analytics engineering fundamentals. • Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt. • Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics. • Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design. • Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form. • Fluency in a development language such as Python. • Familiarity with metadata management tools such as Atlan. • Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker. • Experience with tools we use every day: Storage: Snowflake, AWS Storage Services/DBs (S3, RDS, Glacier, DynamoDB) and Postgres ETL/ELT: Airflow, dbt, Matillion, Fivetran BI: Looker, Tableau. • Experience with tools we don’t use, but should. • Proven passion and talent for teaching fellow engineers and non-engineers. • Experience in recommending standards and practice to streamline the pipeline processes. • Proven passion for building and learning: open source contributions, stretch goals and projects, and self-education. • Experience in education or ed-tech.

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