Senior Data Engineer - AWS, Spark & Lakehouse Remote LATAM

Idearhumano; Buenos Aires; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

100% remote

Long-term commitment

Strategic, high-visibility role

Collaborative international team

Career development and growth

Job summary

Coderio is seeking a Senior Data Engineer AWS to design and optimize scalable data platforms handling financial and transactional data. You will build high-throughput pipelines, cloud data warehouses, and lakehouse architectures while collaborating with Data Scientists, Software Engineers, and Product Managers to translate business needs into reliable data solutions.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and hands-on AWS, Spark, dbt, and Airflow

Qualifications

• 5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles, with a proven track record managing high-volume, production-grade data systems in fast-paced environments.
• Strong proficiency in Python and SQL for complex data processing, optimization, and software development; Scala or Java experience is a plus.
• Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures, including Data Mesh principles.
• Strong expertise in AWS data services, particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda.
• Solid experience with data orchestration and warehousing technologies, including Apache Airflow or similar DAG-based tools and platforms such as Snowflake, AWS Redshift, or Google BigQuery.
• Experience designing real-time streaming architectures using Apache Kafka or AWS Kinesis, as well as familiarity with dbt.
• Strong knowledge of DevOps/DataOps practices, including Git, Docker, CI/CD pipelines (GitHub Actions, GitLab CI, or similar), IaC, and cloud platforms such as AWS or GCP.
• Advanced English proficiency is required, with the ability to communicate effectively in English in both technical and non-technical contexts.

Responsibilities

• Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources.
• Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions.
• Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs.
• Drive the adoption of DataOps practices, including CI/CD, workflow automation, and Infrastructure as Code (IaC) for data systems.
• Champion data governance, privacy, and security standards across data storage and compute layers, including GDPR/LGPD compliance.
• Mentor and guide junior and mid-level Data Engineers, promoting engineering excellence, best practices, and modern architectural patterns.

Job description

Coderio is seeking a Senior Data Engineer AWS to design and optimize scalable data platforms handling financial and transactional data. You will build high-throughput pipelines, cloud data warehouses, and lakehouse architectures while collaborating with Data Scientists, Software Engineers, and Product Managers to translate business needs into reliable data solutions.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and hands-on AWS, Spark, dbt, and Airflow