Build and maintain platform capabilities for reliable ingestion, storage, and processing at scale.
Contribute to petabyte-scale data lake modernization and storage 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 an on-call rotation and help define operational standards for platform services.

🎯 Requirements

3+ years of software engineering experience building production systems.
Proficiency in a general-purpose language (Python, Go, Java or C#).
Familiarity with batch/streaming data systems concepts (scheduling, backfills, idempotency).
Experience debugging and operating production services using logs/metrics and incident response practices.
Experience with big data tooling such as Spark/SparkSQL, Kafka, Hive, Airflow, or Superset.
Experience with Databricks or other big data platforms (Snowflake, Redshift, BigQuery).

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