The Stats and Analytics team at StackAdapt solves complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for analytics, and HDFS for distributed storage. The Stats & Analytics team is structured into three sub teams: Data Ingestion, Data Platform and Data Delivery.
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada for this position.
About the Data Delivery Team:
This team is responsible for transforming foundational data into customer-facing insights and products. Data Delivery builds the pipelines, services, and APIs that power reporting, billing, pacing, and analytics experiences across the platform. Working closely with Product and Web teams, they ensure data is accurate, accessible, and actionable for both internal stakeholders and advertisers.
- Building highly scalable, distributed real-time micro-services primarily written in Go
- Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
- Working with data lakehouse technologies like Apache Iceberg, Apache Trino, and real-time analytics technologies like StarRocks and Clickhouse
- Build software that utilize messaging queues such as Kafka, SQS, and Kinesis
- Write performance efficient and memory optimized code
