Chief Data Architect

1 dia atrás

Osasco, Brasil beBeeDataEngineer Tempo inteiro R$110.000 - R$176.000
Design Scalable Data Systems

We are seeking a skilled data engineer to join our team and help us architect the future of Kraken's data ecosystem.

The successful candidate will be responsible for building and maintaining high-performance data pipelines, ensuring the reliability and scalability of our data infrastructure, and enabling teams across the company to access clean, consistent, and timely data.

Responsibilities
  • Develop scalable and reliable data pipelines that collect, transform, load and curate data from internal systems.
  • Augment data platform with data pipelines from external systems.
  • Ensure high data quality for pipelines you build and make them auditable.
  • Drive data systems to be as near real-time as possible.
  • Support design and deployment of distributed data store that will be central source of truth across the organization.
  • Build data connections to company's internal IT systems.
  • Develop, customize, configure self-service tools that help our data consumers to extract and analyze data from our massive internal data store.
  • Evaluate new technologies and build prototypes for continuous improvements in data engineering.
Required Skills and Qualifications
  • 5+ years of work experience in relevant field (Data Engineer, DWH Engineer, Software Engineer, etc).
  • Experience with data-lake and data-warehousing technologies and relevant data modeling best practices.
  • Proficiency in at least one of the main programming languages used: Python and Scala. Additional programming languages expertise is a big plus.
  • Experience building data pipelines/ETL in Airflow, and familiarity with software design principles.
  • Excellent SQL and data manipulation skills using common frameworks like Spark/PySpark, or similar.
  • Expertise in Apache Spark, or similar Big Data technologies, with a proven record of processing high volumes and velocity of datasets.
  • Experience with business requirements gathering for data sourcing.
  • Bonus - Kafka and other streaming technologies like Apache Flink.
Benefits
  • Mid-Senior level position.
  • Full-time employment.
  • Information Technology job function.

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