Senior Data Engineer

Fraud Deflect; Brasil; Teletrabalho; BRL 261 233 - 417 972; Tempo integral

Resumo da oferta

A data solutions company seeks a Data Engineer to maintain and evolve their data stack, focusing on reliable pipelines and strong data models. Responsibilities include owning data architecture, maintaining existing pipelines, and building Airflow workflows. Required skills include strong MySQL and SQL knowledge, experience with Airflow, and AWS. The ideal candidate should be comfortable operating on Linux and possess strong analytical skills and communication abilities.

Qualificações

• Strong MySQL skills required.
• Experience with Airflow in a production environment is necessary.
• Must have AWS experience.
• Comfortable maintaining systems on Linux.
• Strong communication and critical thinking skills.

Responsabilidades

• Own data architecture and data modeling for core datasets.
• Maintain and improve existing pipelines including stability and performance.
• Build and operate Airflow workflows.
• Write and optimize SQL in MySQL.
• Develop pipeline/tooling code in Python.
• Operate and debug on Linux.

Conhecimentos

Strong MySQL/SQL

Airflow in production

AWS experience

Strong communication skills

Critical thinking

Troubleshooting skills

Ferramentas

MySQL

Airflow

AWS

Linux

Python

ClickHouse

Descrição da oferta de emprego

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.