Citi Group Senior Starburst Engineer 

Canada, Ontario 

777567834

• Mastery of Data Logic: Expertise in crafting complex stored procedures, enhance existing database code, and fine-tune queries, ensuring top-notch performance and reliability, even with intricate data structures.
• End-to-End Ownership:Take charge of the entire administration process, from setting standards, implementing security controls, debugging, query improvements and monitoring system performance.
• DevOps Mindset : Focus on standardizing, improving the DevOps Process. enhance lower environment and application ecosystem stability, reduce operation support cost, and Improve overall Developer experience.
• Autonomy and Mentorship:Operate with a high level of autonomy, providing valuable insights as a subject matter expert to senior stakeholders and mentorship to junior analysts.
• Problem Solving:Address complex data-related challenges with creative and effective solutions, enabling the organization to overcome obstacles and achieve its objectives.
• Documentation and Knowledge Sharing:Maintain thorough documentation of data models, processes, and best practices while actively sharing knowledge within the team and the broader organization.

• Years ofExperience:6 - 10 years of relevant experience in Database Administration and Engineering.

• Educational Qualification:Degree in computer science, computer engineering or a related field.

• Starburst Proficiency:
  • Cluster tuning, monitoring and analysis and optimization of Starburst query plans
  • Knowledge of Installation and upgrade of Starburst Enterprise platform (SEP) or Trino
  • Update cluster configuration files, catalog properties for data source configuration and permissions
  • Service management of the cluster (start/stop/restart/status)
  • Collection, debugging and analysis of logs and Java thread dumps from Splunk
  • Defining UDFs using custom binary files/code
  • Build and support materialized views
  • Good to have : knowledge of Apache Ranger and Starburst connectors such as Hive, Tableau, Elasticsearch, Kafka, Oracle and Iceberg
• Data Prowess:Proven hands-on experience in database architecture, and administration, along with a knack for emerging BigData technologies.
• Motivated;Proactive, meticulous, and tenacious self-starter.
• Performance Optimization:A track record of excelling in query performance tuning and database optimization, particularly with complex datasets.
• Scripting Skills:Proficiency in scripting languages such as Python and Linux shell, with exposure to other database technologies like Oracle, Impala, Spark.

Time Type:

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