Senior Data Engineer (Brazil)
Klar Technologies S.A. de C.V.2 months ago
Remote, BrazilSenior
Responsibilities
- Design, build, and maintain scalable data lakes and lakehouses using Apache Iceberg and AWS-native services.
- Develop batch and streaming data pipelines for large-scale, high-velocity data from multiple sources.
- Build and maintain a scalable, reliable real-time ingestion layer using Kafka or similar technologies.
- Optimize and maintain AWS-based infrastructure, including Redshift and surrounding services.
- Define and implement practices for data quality, governance, monitoring, and reliability.
- Partner with engineering, analytics, and business teams on data solutions for AI/ML, fraud detection, real-time analytics, reconciliations, and regulatory reporting.
- Own projects independently and help guide the direction of Klar’s data platform.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Proven experience as a Senior Data Engineer building large-scale data platforms.
- Hands-on experience building data lakes or lakehouses with frameworks such as Apache Iceberg.
- Strong skills in SQL, Python, and Git.
- Deep experience with AWS services including S3, Glue, Redshift, and Athena.
- Experience with streaming technologies such as Kafka, RisingWave, or Flink.
- Familiarity with data orchestration tools such as dbt, Mage.ai, Airflow, or Dagster.
- Advanced English communication skills.
- Ability to work independently, adapt quickly, and deliver results in a fast-paced environment.
- Experience with Terraform is desirable.
- Experience working with Kubernetes is desirable.
Benefits
- Competitive salary based on performance and experience.
- Chance to earn Klar stock options.
- 26 days of paid vacation per year.
- Computer devices provided.
- Sponsored coaching and therapy sessions through Mantra Care.
- International work environment with highly skilled colleagues.
- Support from a world-class team to develop skills in areas of interest.
- Inclusive workplace with accommodations available during the recruitment process.
Tech Stack
Categories
Data Engineering