Remote Senior Data Engineer

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Description:

  • BitMEX is a globally leading exchange for crypto derivatives, offering a professional-grade trading platform since 2014 with an impeccable security record.
  • The Data Engineering team is part of the DevOps department and is crucial for bridging data feeds from the BitMEX trading platform to various business units.
  • Responsibilities include designing and maintaining enhancements to the data warehouse, data lake, and data pipelines to improve reliability and consistency.
  • The role also involves improving the queriability of large historical datasets through industry-standard tools and careful data representation for both technical and business units.

Requirements:

  • A minimum of 4+ years of experience in the data engineering field with demonstrated design and technical implementation of data warehouses is required.
  • Candidates must have experience with OLAP databases and an understanding of data structuring/modeling, including trade-offs between storage/performance and usability.
  • Experience in building, deploying, and troubleshooting reliable, idempotent, and consistent data pipelines using disparate in-house and external data sources, such as Airflow DAGs, is necessary.
  • Proficiency with AWS Redshift, Glue Data Catalog, S3, PostgreSQL, Parquet, Iceberg, Trino, and management using Terraform & Kubernetes is required.
  • Candidates with less experience will be considered for the Data Engineer position.

Benefits:

  • BitMEX offers flexible work-from-home arrangements to help employees balance work, family, and personal life.
  • Paid holidays and leave are provided to ensure employees do not miss important events.
  • Team building and offsite events are organized to foster closer connections within the global team.
  • Employees can take advantage of the Beyond Border Remote Working policy, allowing them to work away from their home country.
  • There is an option to choose to be paid in either fiat or crypto currency, providing flexibility in financial management.
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