Description: What we expect from you: * Strong expertise in SQL, Python, Spark/PySpark, and Linux; * Broad experience with AWS services, preferably: IAM, EC2, Athena, DynamoDB, RDS, S3, EMR, Lambda, Step Functions, Lake Formation, CloudWatch, and Kinesis; * Experience with Prometheus, Grafana, and CloudTrail; * Experience maintaining data tools such as Airflow, Superset, DataHub, etc.; * Experience with relational and NoSQL databases; * Experience building CI/CD pipelines; * Experience with Kubernetes; * Experience with Terraform; * Experience with GitHub Actions; Nice-to-have qualifications: * Experience with MLOps and ML model deployment pipelines; * Experience in data domains within fintech companies; Your day-to-day at Conta Simples: As a Staff Data Engineer for the Data Platform, you will provide technical leadership to our data engineering team, defining standards and introducing best practices across our processes. You will also collaborate closely with the platform team to ensure alignment between the standards adopted by Conta Simples’ technology team and our data platform, prioritizing quality, observability, and cost efficiency. Our tech stack primarily includes Airflow, Superset, PySpark, Iceberg, Athena, EMR, Lambda, and Step Functions on AWS. 2512140202201745919