Data engineering jobs at Too Good To Go.

TG

Too Good To Go · jobs.ashbyhq.com · checked today

Senior Data Platform Engineer

Skills, with evidence

• Airflow / orchestration
  Extensive experience designing, building, and operating data processing solutions (Airflow, AppFlow, Metaflow, dbt, dlt), and working with distributed systems in production (Spark on EMR, Glue).must havewrong?
• Python
  Data Engineering: Deep proficiency in Python and SQL, advanced understanding of modern data warehouse internals (AWS Redshift), efficient ways of working on S3, and strong data engineering fundamentals including scalability, reliability, fault tolerance, and trade-off analysis.must havewrong?
• SQL
  Data Engineering: Deep proficiency in Python and SQL, advanced understanding of modern data warehouse internals (AWS Redshift), efficient ways of working on S3, and strong data engineering fundamentals including scalability, reliability, fault tolerance, and trade-off analysis.must havewrong?
• Spark
  Extensive experience designing, building, and operating data processing solutions (Airflow, AppFlow, Metaflow, dbt, dlt), and working with distributed systems in production (Spark on EMR, Glue).must havewrong?
• dbt
  Extensive experience designing, building, and operating data processing solutions (Airflow, AppFlow, Metaflow, dbt, dlt), and working with distributed systems in production (Spark on EMR, Glue).must havewrong?
• AWS
  Optimize system performance, efficiency, and infrastructure cost governance across our AWS data ecosystem.must have · not practised herewrong?
• Terraform
  Experience applying DataOps, GitOps, Terraform, CI/CD tools (GitHub Actions, Docker), and observability tools.must have · not practised herewrong?
• Streaming
  Data Platform enables multiple teams including Backend, ML, Analytics, and Marketing by helping them manage data infrastructure powering batch pipelines, live inference, and streaming initiatives across the company.wrong?
• Data quality
  - Automate observability metrics, monitoring, and data integrity tests to ensure reliable, trusted data sources and strong data governance across central warehouse and external team product workflows.wrong?
• Failure handling
  - Automate observability metrics, monitoring, and data integrity tests to ensure reliable, trusted data sources and strong data governance across central warehouse and external team product workflows.wrong?
• Warehousing
  - Automate observability metrics, monitoring, and data integrity tests to ensure reliable, trusted data sources and strong data governance across central warehouse and external team product workflows.wrong?
• Dashboards & BI
  You will be responsible for designing, improving, and implementing reliable, robust data systems and the ingestion flows that feed both our backend app and our BI tools, supporting growth and better decisions across the company.not practised herewrong?
• Governance & security
  - Optimize system performance, efficiency, and infrastructure cost governance across our AWS data ecosystem.not practised herewrong?
• Kubernetes
  Experience applying DataOps, GitOps, Terraform, CI/CD tools (GitHub Actions, Docker), and observability tools.not practised herewrong?