Staff Software Engineer - Distributed Systems/Data
October 20
Description
• Collaborate with the data team to develop and maintain a large-scale, low-latency data platform, while making critical business decisions to drive its strategic direction. • Ensure the platform supports real-time updates and holistic user views for various applications, including segmentation and analytics. • Independently gather business requirements, translate them into technical specs, and build corresponding applications on the data platform. • Set the standard by mentoring the team and actively influencing cross-functional initiatives. • Perform code reviews, and suggest enhancements to existing code. • Participate in the decision-making process related to data architecture. • Collaborate with BI, Analytics, Data Science and game teams in a dynamic environment.
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 aspects such as data privacy, security and compliance with all relevant legislation. • Experience with Data Warehousing solutions like Snowflake/BigQuery/ClickHouse. • Experience with data transformation tools like DBT and practical knowledge of 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 such as Flink or Spark, and with JVM languages such as Java, Scala and/or Kotlin is strongly preferred. • Experience in developing and maintaining APIs for data services is strongly preferred.
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