Cloud Data Engineer
Cloud Data Engineer
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Job Description
Its fun to work in a company where people truly BELIEVE in what theyre doing!
Were committed to bringing passion and customer focus to the business.
About Us
Kyriba is a global leader in liquidity performance that empowers CFOs Treasurers and IT leaders to connect protect forecast and optimize their liquidity. As a secure and scalable SaaS solution Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyribas realtime data and AIempowered tools empower its 3000 customers worldwide to quantify exposures project cash and liquidity and take action to protect balance sheets income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information visit.
Kyriba is seeking a talented Midlevel Cloud Data engineer to join our team of more than 200 engineers working together to bring innovative solutions to Kyriba clients around the globe. We are a team of passionate people motivated by agility innovation and continuous improvement.
As a Cloud Data Engineer with at least five years of experience in Data Operation you will be in charge of managing improving and scaling our data pipelines. The ideal candidate will have previously shown the ability to design implement and maintain new and existing databases data pipelines and data warehouses Additionally experienced in monitoring alerting trending and dashboarding of data metrics. The Cloud Data Engineer works closely with Cloud Engineering Operations Product Developers Product Owners and Customer Support on new architecture and feature introductions.
RESPONSIBILITIES
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 34
Implement customer facing Service Requests involving data processing
SKILLS
B.S. Degree in Computer Science or related field
2 years experience in Data Warehousing/Data Lakes (Snowflake DataBricks preferred)
2 years Experience developing infraascode (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 (kafka spark flink)
3 years experience with Linux
3 years with AWS dbs and data stores
3 years with observability monitoring and alerting tools (Splunk Wavefront 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
Employment Type
Full-Time
