Build and maintain platform capabilities for ingestion, storage, and processing of data at scale.
Contribute to petabyte-scale data lake modernization and format migrations.
Develop platform features to support AI/ML workflows on the data lake.
Partner with engineering teams to integrate with the customer data platform.
Participate in on-call rotations and define operational standards.

🎯 Requirements

3+ years of software engineering experience building production systems.
Proficiency in Python, Go, Java, or C#.
Familiarity with batch/streaming data systems concepts.
Experience debugging and operating production services using logs and metrics.
Experience with big data tooling such as Spark, Kafka, Hive, Airflow, or Superset.

🎁 Benefits

Engineering Career Framework provides growth paths.
Remote-friendly role with Canada/select locations.
On-call rotations and operational standards across teams.

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