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Related skills

aws sql python dbt airflow

📋 Description

  • Design, build and maintain high-throughput data pipelines
  • Scale cloud data warehouse and lakehouse architectures
  • Collaborate with data scientists, software engineers, and product managers
  • Implement data quality frameworks, testing, monitoring, and alerting
  • Drive DataOps practices including CI/CD and IaC
  • Champion data governance, privacy, and security standards

🎯 Requirements

  • 5+ years in data engineering or related roles
  • Python and SQL proficiency; Scala/Java a plus
  • Apache Spark/PySpark, Delta Lake, lakehouse architectures
  • AWS data services: S3, Glue, Athena, EventBridge, Firehose, Lambda
  • Airflow or similar, Snowflake/Redshift/BigQuery familiarity
  • Real-time streaming with Kafka/Kinesis; dbt experience a plus

🎁 Benefits

  • 100% remote
  • Long-term commitment with autonomy and impact
  • Strategic role within modern engineering culture
  • Collaborative international team with leadership
  • Career development and growth opportunities
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