Your role: You own the topics of collection, normalization, and delivery of data You maintain and extend or data pipelines and dashboards You collaborate with numerous stakeholders on the new features and system design What you bring: 3+ years of total experience in implementing data pipelines with Spark, Flink, or similar Solid skills with high-level programming languages, such as Golang, Python, etc. Experience with relational databases such as Postgres Experience with data storage and querying technologies, such as Parquet format and Presto Ability to design, implement, and maintain multiple high-volume data processing pipelines Good to have: Knowledge of AWS, Glue, Redshift, Athena Experience with business intelligence and statistical analysis Experience with data-driven product marketing Knowledge of trading platforms