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SQL Engineer - London, United Kingdom - Ripple
Description
At Ripple, we're building a world where value moves like information does today.Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world.
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future.
This Internet of Value gives any internet-enabled person, application, or device access to financial services that are transparent, fast, reliable, and cheap.
5 trillion market of digital assets that has grown 10X in the last year.
To drive innovation faster and be more customer-centric, the Data Analytics team is looking for a passionate Data Engineer who can help us build the new payment data warehouse from scratch.
This is a senior-level role which requires a clear vision to shape the future of our payment data to be more user-friendly, high-quality, and cost-effective.
The person will be the key player to empower all the stakeholders at Ripple to make more data-driven decisions.
In this role, you will design and implement the key payment data models for various analytics, ML/AI solutions, and data-centric product features, which includes building batch/stream ETL pipelines for payment golden datasets, creating unified data monitoring and alerting system for operation excellence, and setting up the standard for payment data governance.
Successful candidates will be able to demonstrate an ability and history of thoughtfulness and curiosity in data modeling, pipelining, governance, and security.
The ideal candidate will have strong hands-on experience in designing, developing, and managing an enterprise-level data warehouse/lakehouse with complex interdependencies with a focus on high availability, scalability, accuracy, and latency.
Your customers will be mainly scientists, engineers, analysts, and product managers so how to empower them to be more self-serve and access high-quality data anytime easily are the key to success.
5+ years' experience in designing and developing enterprise data warehouse and engineering solutions that have supported massive workloads and data scale/volume
Experience working with cloud-based data platforms, such as Databricks (preferred), BigQuery, Redshift, etc.
Proven experience with various data modeling techniques
Solid understanding of data integration, quality, and governance
Proficiency in programming languages (Python, SQL), scripting languages (Bash, shell scripting), configuration management and/or provisioning tools (Terraform or CloudFormation), CI/CD technologies (Jenkins or GitLab), and version control tools like Git
Hands-on experience with building real-time systems and a good understanding of fundamental data science
Bachelor's degree in Computer Science, Engineering, or related field, equivalent training, or work experience
Data Engineer, Data Engineer,
A professional development budget to support other modes of learning.
Ripple is Flexible First:
in-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
Competitive salary, bonuses, and equityCompetitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
Mobile phone stipend
Generous wellness reimbursement and weekly onsite & virtual programming
Generous vacation policy - work with your manager to take time off when you need it
Industry-leading parental leave policies. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
We're committed to building a diverse and inclusive team.
We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.