Staff Software Engineer (Distributed Systems/Data)

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Requirements:

• Hands-on experience in large-scale technical implementations and cloud-native data pipelines and stores.
• Extensive experience with batch-based data warehousing technologies.
• Strong experience with relational SQL and NoSQL databases.
• Demonstrated knowledge in CI/CD deployment models.
• A strong bias to action, while considering data privacy, security, and compliance.
• Experience with Data Warehousing solutions like Snowflake, BigQuery, ClickHouse.
• Experience with data transformation tools like DBT and BI tools such as Looker.
• Experience with workflow automation platforms such as Airflow, Prefect.
• Familiarity with data streaming technologies like Kafka or Kinesis is strongly preferred.
• Proficiency with stream processing engines like Flink or Spark, and JVM languages like Java, Scala, or Kotlin is preferred.
• Experience in developing and maintaining APIs for data services is preferred.

Responsibilities:

• Collaborate with the data team to develop and maintain a large-scale, low-latency data platform.
• Ensure the platform supports real-time updates and holistic user views for various applications.
• Independently gather business requirements, translate them into technical specs, and build corresponding applications.
• Mentor the team and actively influence cross-functional initiatives.
• Perform code reviews and suggest enhancements.
• Participate in the decision-making process related to data architecture.
• Collaborate with BI, Analytics, Data Science, and game teams.