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Data Engineer at CloudDevs

Opportunity for professionals in LATAM, Canada, Europe, EMEA, and Asia 

CloudDevs partners with top-tier, venture-backed startups to develop and expand their data infrastructure. You'll join one of these innovative companies as a key contributor during their early growth phase.

Required qualifications:
  • Proven track record in designing, building, and managing data pipelines (ETL/ELT).
  • Hands-on expertise with at least one data processing framework (Spark, Flink, Beam, or Airflow).
  • Experience handling both batch and streaming data workflows.
  • Strong SQL and relational database skills, along with exposure to NoSQL or data warehouses (BigQuery, Redshift, Snowflake).
  • Understanding of data modeling, schema design, and performance tuning.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their data offerings.
  • Excellent English communication abilities.
  • Analytical problem-solving mindset.
  • Adaptable to collaborative, distributed team environments.

Key responsibilities:
  • Develop and sustain scalable, reliable data pipelines.
  • Manage processing of large datasets in batch and real-time modes.
  • Work alongside product, data science, and engineering teams to address data requirements.
  • Uphold data quality through testing, monitoring, and alerting mechanisms.
  • Enhance performance in query speed, cost efficiency, and resource utilization.
  • Document data schemas, pipelines, and system architecture. 

Interested in other tech roles?
We also recruit Senior Data Engineers, Fullstack, Front-end, and Backend Engineers with 4+ years of professional experience. Apply now to explore matching opportunities on our platform.

Application process for qualified candidates:
  1. Submit your CV via our website
  2. Attend a 30-minute screening/technical interview
  3. Complete a technical challenge or take-home assignment
  4. Get matched with suitable roles based on your profile