Senior Data Platform Engineer

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company OverviewSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. about building systems to support products across a variety of industries and consumer/enterprise clients. Role OverviewThe Swish Analytics team is seeking a Senior Data Platform Engineer to have a direct impact on the data infrastructure of our core consumer and enterprise data offerings. about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position. Seniority: Solid Senior level (5-8 years experience)Core Responsibilities:Proficiency in Python: Expertise in writing scalable, efficient, and testable code using Python for data processing, automation, and building back-end components. Familiarity with popular Python libraries is a plus. Cloud Platforms: Proficiency in cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, including knowledge of their specific data tools (e.g., Redshift, S3, Azure Data Factory, BigQuery).24/7 monitoring, alerting, and incident response of enterprise database architecture. Developing KPI's, SLA’s, SLO’s and strategy to achieve and improve database stabilityBackup/recovery testing and disaster recovery planningDeveloping performance testing strategy,Query performance analysis and optimization. Implement and maintain RDS Proxy and connection management strategiesManage database environments from production, data streams, to "Big Data" analytics. Create and maintain policy runbooks and documentation for company use. Database security, access control, and complianceWorking with MySQL/Postgres, Redshift, Kafka, Athena, Redis/Valkey, S3 and similarOwn schema migration tooling and process developmentSkills Guide:Operational Excellence: Monitoring (CloudWatch, Performance Insights, Datadog), alerting, on-call experienceMySQL Operations: Deep knowledge of RDS operational functions, performance tuning (indexes, query optimization, explain plans) Backup/restore, point-in-time recovery, replication troubleshootingSQL Mastery: Proficiently writing and understanding complex SQL queries, including joins, subqueries, aggregations, and window functions. Database Design Principles: Knowledge of normalization, denormalization, and how table structure impacts query performance. Indexing: Understanding different index types (B-tree, hash, clustered, non-clustered) and their appropriate use for optimizing search and retrieval. Automation: Software development for operational tasksAWS: RDS operations, Authentication, AuthorizationIncident Management: Root cause analysis, postmortem creation, Run book developmentNice to Have:Performance testing tools (sysbench, HammerDB)Execution Plan Analysis: Ability to read and interpret query execution plans to identify bottlenecks, such as full table scans, inefficient joins, or missing indexes. Identifying Resource Bottlenecks: Pinpointing where queries are consuming excessive CPU, I/O, connections, or memory. Base salary: Starting at $180,000+ - DOESwish Analytics is an Equal Opportunity Employer. responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.