Senior Data Engineer
Há 19 horas
Brasília, Federal District, Brasil
Fraud Deflect
Tempo integral
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Language: Native/fluent English. Resumes in English.
About the role
Maintain and evolve Fraud Deflect’s data stack: reliable pipelines, strong data models, and stable production operations on Linux. Focus is improving what exists, not rewriting everything. Responsibilities Own data architecture and data modeling for core datasets. Maintain and improve existing pipelines (stability, backfills, performance, data quality). Build/operate Airflow workflows (SLAs, retries, alerting, idempotency). Write and optimize SQL in MySQL (schemas, migrations, indexing, query tuning). Develop pipeline/tooling code in Python. Operate and debug on Linux (services/jobs, logs, incidents, automation). Work within the current stack (Airflow, AWS, MySQL; ClickHouse is a plus). Add basic observability; dashboards/visuals are a plus. Communicate clearly; apply strong analytical thinking and problem-solving. Required Strong MySQL/SQL. Airflow in production. AWS experience. Comfortable maintaining systems on Linux. Strong communication, critical thinking, and troubleshooting skills. Nice to have Prior Clickhouse experience.
How to apply
Send an English resume and links to APIs/code/docs showing Python, Clickhouse, SQL, automation, and payments/chargebacks work.
About the role
Maintain and evolve Fraud Deflect’s data stack: reliable pipelines, strong data models, and stable production operations on Linux. Focus is improving what exists, not rewriting everything. Responsibilities Own data architecture and data modeling for core datasets. Maintain and improve existing pipelines (stability, backfills, performance, data quality). Build/operate Airflow workflows (SLAs, retries, alerting, idempotency). Write and optimize SQL in MySQL (schemas, migrations, indexing, query tuning). Develop pipeline/tooling code in Python. Operate and debug on Linux (services/jobs, logs, incidents, automation). Work within the current stack (Airflow, AWS, MySQL; ClickHouse is a plus). Add basic observability; dashboards/visuals are a plus. Communicate clearly; apply strong analytical thinking and problem-solving. Required Strong MySQL/SQL. Airflow in production. AWS experience. Comfortable maintaining systems on Linux. Strong communication, critical thinking, and troubleshooting skills. Nice to have Prior Clickhouse experience.
How to apply
Send an English resume and links to APIs/code/docs showing Python, Clickhouse, SQL, automation, and payments/chargebacks work.