Principal Data Engineer (Remote) at Cloudbeds | Torre
Principal Data Engineer (Remote)
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Cloudbeds

Principal Data Engineer (Remote)

Cloudbeds
Posted by
Manuela Vargas Jaramillo
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Full-time

Legal agreement: Employment

Compensation
USD110k - 160k/year
Non-negotiable
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Remote (for Canada residents)
Remote (for United States residents)
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Visa sponsorship: To be discussed/negotiated
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Posted over 5 years ago

Requirements and responsibilities

• Own the end-to-end delivery of projects related to our data platform initiative, from conception and design to development and production monitoring • Enable our cross-domain data and software products teams to perfect our products and expand our offering and offer easy and secure access to data for engineering teams to deliver faster • You will democratize access to data and aim to automate operations of large amounts of sensitive data efficiently, securely, and reliably • You’ll participate in the strategic development of methods, techniques, and evaluation criteria for Data related projects. This will include assessment of build vs buy decisions at certain stages, backed by proof of concepts, benchmarking, etc • Take a consultative approach to enable platform and product engineering teams such that enablement of Data Durability, Consistency, Conformity and Scalability can be transparently achieved through the means of Data Platform and Services • Ship your code with our continuous integration process • Consult and partner with the Operations group as they evolve the maturity of our monitoring systems and processes to improve visibility and failures detection in our data platform infrastructure • Build and maintain high throughput data pipelines with state of the art technologies including but not limited to Kafka/Kinesis Streams, Spark, AWS Data Migration Services/Debezium, EMR, Hudi/Delta Lake, Redshift, Cassandra/DynamoDB, Airflow or equivalents, etc • Optimize and maintain current platform data pipelines while we modernize with a new platform • Implement logging and debugging approaches in a standardized fashion • Collaborate with Data Architecture, Business Intelligence, Analytics, and Infrastructure teams on a daily basis • Develop a framework for future extensions through standardized modern workflows.
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