3 months ago
Buenos Aires, Argentina or Rio de Janeiro, BrazilSenior
Responsibilities
- Design, build, maintain, and optimize high-throughput batch and streaming data pipelines for financial transactions.
- Design and scale cloud data warehouse and lakehouse architectures for structured and unstructured data.
- Collaborate with Data Scientists, Software Engineers, and Product Managers to deliver scalable data solutions.
- Implement data quality frameworks, automated testing, monitoring, and alerting for reliable and compliant data systems.
- Drive DataOps practices including workflow automation, CI/CD, and Infrastructure as Code.
- Champion data governance, privacy, security, and GDPR/LGPD compliance across data platforms.
- Mentor junior and mid-level Data Engineers and contribute to architectural and engineering best practices.
Requirements
- At least 5 years of experience in Data Engineering, Big Data, or related Software Engineering roles managing high-volume production data systems.
- Strong Python and SQL proficiency; Scala or Java experience is a plus.
- Hands-on experience with Apache Spark/PySpark, Delta Lake, lakehouse architectures, and Data Mesh principles.
- Strong expertise with AWS data services including S3, Glue, Athena, EventBridge, Firehose, and Lambda.
- Experience with Apache Airflow or similar orchestration tools and Snowflake, AWS Redshift, or Google BigQuery.
- Experience designing real-time streaming architectures with Apache Kafka or AWS Kinesis and using dbt for data transformation and modeling.
- Knowledge of DevOps/DataOps practices, Git, Docker, CI/CD pipelines, Infrastructure as Code, and AWS or GCP.
- Advanced English proficiency for technical and non-technical communication.
- Fintech, payments, e-commerce, regulated-data, Databricks, Terraform, advanced DataOps, secure data platform, mentoring, or technical architecture experience is preferred.
Benefits
- 100% remote is stated, although the posting also says the strategic role may involve working directly on-site for high-stakes initiatives.
- Long-term commitment with autonomy and meaningful impact.
- Strategic, high-visibility role in a modern engineering culture.
- Collaborative international team with strong technical leadership.
- Career development and growth opportunities within Coderio.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSDatabricksdbtDockerGitGitHub ActionsGitLab CI/CDGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSnowflakeSQLTerraform
Categories
Data Engineering
About Coderio
Coderio is a nearshore software development firm that provides staff augmentation and managed teams to build web, mobile, and cloud applications for global companies. Founded in 2017 and headquartered in New York, the privately held company assembles timezone-aligned engineering squads across the Americas to deliver end-to-end projects and platform modernization. Services span front- and back-end development, data and AI, cloud migrations, and legacy application modernization.