Senior Data Engineer (AWS)

New
C
CoderioFintech / Data Engineering
Candidates must reside exclusively in Argentina, Brazil, or Uruguay.ContractSenior
Salary not disclosed
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Job Details

Languages
Advanced English proficiency
Experience
5+ years
Required Skills
AWSDockerPythonSQLApache AirflowSparkCI/CDdbt

Requirements

  • 5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles.
  • Strong proficiency in Python and SQL for complex data processing and software development.
  • Hands-on experience with Apache Spark/PySpark, Delta Lake, and Data Mesh principles.
  • Strong expertise in AWS data services (S3, Glue, Athena, EventBridge, Firehose, Lambda).
  • Solid experience with data orchestration tools (e.g., Apache Airflow) and platforms (Snowflake, Redshift, BigQuery).
  • Experience designing real-time streaming architectures (e.g., Apache Kafka, AWS Kinesis).
  • Familiarity with data transformation and modeling tools like dbt.
  • Strong knowledge of DevOps/DataOps practices, Git, Docker, and CI/CD pipelines.
  • Advanced English proficiency for effective technical and non-technical communication.

Responsibilities

  • Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions.
  • Design, scale, and optimize cloud data warehouse and lakehouse architectures for massive volumes of data.
  • Collaborate with Data Scientists, Software Engineers, and Product Managers to translate business needs into reliable data solutions.
  • Implement data quality frameworks, automated testing, monitoring, and alerting to ensure compliance with SLAs.
  • Drive the adoption of DataOps practices, including CI/CD and Infrastructure as Code (IaC).
  • Champion data governance, privacy, and security standards such as GDPR/LGPD compliance.
  • Mentor and guide junior and mid-level Data Engineers.
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