Senior Analytics Engineer
Imagine Worldwide · Data · Senior · 18d ago
Anyone, anywhere in the world can apply.
Applies on the original listing · via Himalayas
Who can apply
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Anyone, anywhere in the world can apply.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
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About the role
The Senior Analytics Engineer builds, runs, and optimizes Imagine's analytics platform, covering both cloud infrastructure and end-to-end data engineering. Working closely with the Director of Analytics, you will scale pipelines handling billions of records from tablets across Sub-Saharan Africa, maintaining high performance while strictly controlling cloud compute costs.
What you'll do
- Build and maintain AWS infrastructure and ClickHouse Cloud data warehouse instances using Terraform.
- Develop and optimize Spark jobs and ingestion pipelines using AWS Glue, Lambda, and Airbyte into an Apache Iceberg lake.
- Host, configure, and upgrade self-hosted tools including Apache Airflow and Apache Superset.
- Develop and maintain dbt staging and core transformation models in ClickHouse with incremental loading patterns.
- Implement model testing, contracts, data quality monitoring, and documentation for core learning datasets.
What you bring
- Senior-level experience in analytics engineering, data platform management, or data engineering.
- Expertise in cloud infrastructure as code using Terraform and AWS services like S3, Glue, and IAM.
- Strong background in large-scale data processing using Apache Spark, Apache Iceberg, and ClickHouse.
- Demonstrated experience building orchestration DAGs with Apache Airflow and transformation models with dbt.
About Imagine Worldwide
Imagine Worldwide is an edtech nonprofit providing scalable, tablet-based foundational learning to marginalized children across Sub-Saharan Africa.
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