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Data Specialist at CloudDevs: Data Engineer Position

World-class startups in need of data infrastructure staffing turn to CloudDevs, a San Francisco-based company. CloudDevs is now seeking talents from Latin America (LATAM), Canada, Europe, EMEA, and Asia to join their team and assist in building and scaling data infrastructure for startups...

Data Engineer Role at CloudDevs
Data Engineer Role at CloudDevs

Data Specialist at CloudDevs: Data Engineer Position

CloudDevs, a San Francisco-based company, is on the lookout for skilled data engineers to join their team and help world-class, venture-backed startups build and scale their data infrastructure. The company is open to talents from LATAM, Canada, Europe, EMEA, and Asia, and candidates who meet the requirements will be matched with the best openings on CloudDevs' platform.

To apply, candidates are required to upload their CV on the website We Work Remotely. The minimum qualifications for a role at CloudDevs include over four years of commercial experience, strong experience in designing, building, and maintaining data pipelines (ETL/ELT), proficiency in SQL and relational databases, and comfort with cloud platforms (AWS / GCP / Azure).

As a data engineer at CloudDevs, your duties and responsibilities will include designing, building, and maintaining robust, scalable data pipelines, processing large datasets both in batch and real-time, collaborating with product owners, data scientists, and engineering teams, ensuring data quality and integrity, optimizing performance, and maintaining documentation of data schemas, pipelines, and architecture.

The application process involves a 30-minute screening call/technical interview, a technical challenge or take-home assessment, and being matched with appropriate openings on the platform. CloudDevs is accepting applications for various roles, including Senior Data Engineers, Fullstack developers, Front-end engineers, and Backend-engineers.

While the tech stack for the roles mentioned is not explicitly provided, it's known that other qualifications include solid skills with one or more data processing frameworks (e.g., Spark, Flink, Beam, Airflow), experience working with both batch and streaming data, knowledge of data modelling principles, schema design, and performance optimization, strong and confident communication skills in English, problem-solving abilities, and comfort with collaboration across distributed teams.

CloudDevs has been instrumental in collaborating with space-class startups from Latin America, Canada, Europe, EMEA, and Asia to build and scale their data infrastructure, but the person who supported CloudDevs in this collaboration is not explicitly named in publicly available information. For more information about CloudDevs and their open roles, visit their website at CloudDevs.com.

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