Create, maintain and execute on improvements to our data pipeline and databases as we scale our systems to meet customer demand

Enhance and extend database, data pipeline and data warehouse performance and scalability

Identify relevant business metrics and implement real time monitoring, alerting, trending and dashboarding.

Analyze and communicate data and database problems

Participate in performance and load test efforts

Assist in creation and maintenance of the test data environments and test data

Respond to non production and production incidents on a rotating basis

Rotating 2nd Level on call with a team of 3-4

Implement customer facing Service Requests involving data processing

B.S. Degree in Computer Science or related field

2+ years' experience in Data Warehousing/Data Lakes (Redshift Classic/Spectrum, DataBricks preferred)

2+ years' Experience developing infra-as-code (Hashicorp, Terraform, or equivalent)

2+ years' Experience with Docker, Kubernetes (or container orchestration equivalent)

3+ years' Experience with AWS, GCP , and developing CI/CD tooling

3+ years' experience with RDBMs (Postgres, Oracle)

2+ years' experience with data pipeline technologies (kinesis, EMR, kafka(MSK))

3+ years' experience with Linux

3+ years' with AWS dbs and data stores

3+ years' with observability, monitoring and alerting tools (DataDog, SumoLogic, Cloudwatch, Opsgenie preferred)

Experience with data migrations from one data platform to another

Experience working in an Agile environment

Experience with automating data and db deployments/upgrades (Liquibase preferred)

Experience with Bitbucket/Jira/Confluence

Understanding of web technologies, including web services, web application servers and RESTful APIs

Experience working in a 24X7X365 SaaS environment

Experience with HIPAA/PHI/GDPR data security and privacy

English is the working language. 

Basic experience with NoSQL (DynamoDB, MongoDB preferred) is a plus

Basic understanding of Finance and Treasury Management is a plus