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Sr Data Ops Engineer Data Engineering

Ripple CA San Francisco, California, United States

Live

Full-time Posted over 3 years ago 3 min read

Ripple is looking for a Staff data operations engineer to help build scalable Data infrastructure. You will be part of the effort to enable Ripples to democratize data by developing self-serving and curated data models through financial Hub. Data is core to everything that Ripple does today and you will design and mentor the data engineers and data Ops pods that will be at the center of data. Our data science research direction, machine learning strategy, and analytics will rely on the infrastructure you build. As a hands-on leader for this team,You will incorporate best practices, learn about and leverage new technologies, work with an experienced team of engineers, and be part of a team that has a lot of fun along the way!

Key Responsibilities

Manage and track data as it gets processed and moved from and to different sources
Manage workflows and data build processes that help the BI team build key business metrics and design dashboard visualizations
Troubleshoot problems with data (missing, corrupted, invalid) and build data recovery strategy
Partner with data engineers to implement required data elements and attributes to enhance business, financial and business operational analytics.
Help improve and maintain high levels of data quality and integrity across various data sources. Act as a central control point when it comes to data change management.
Develop and deploy data models in a methodical and disciplined manner to satisfy data needs of various functional teams.
Continuously design the future state of our reporting process by collaborating with our Business Systems, Data Engineering, and business partner teams
Work closely with other members of the BI team to better design and build metrics that enhance our analytical capabilities
Assess the effectiveness and accuracy of new data sources, data points, and data gathering techniques
Ensure proper documentation is in place for all key financial and external reports – requirements, design reviews, UAT and approvals as required per SOX compliance

Qualifications

5+ years experience in data platform preferably Data warehousing
5+ years of experience in Distributed DB like Bigquery, snowflake, Presto,Netezza or something similar
4+ years of experience in cloud technologies like AWS, GCP and Azure
Deep knowledge in Data Warehouse architecture and integration
Experience with data management in SQL and/or NoSQL databases (PostgreSQL, Oracle, Teradata, Hadoop).
Familiar to cloud-based architectures, development, test, and deployment automation.
String understanding of SQL, data structures, data integrity, and schema design best practices
Prior experience with data processing technology (e.g. Spark, Hadoop) and workflow management tools (e.g. Airflow, DBT)
Experience with schema design and dimensional data modeling.
A strong advocate of data governance and data quality
Experience with distributed event streaming platforms like Kafka, Flink, etc
Experience with database internals, database language theories, database design, SQL and database programming
You have experience building internal infrastructure that is shared across teams.
Good understanding of SOX compliance and internal controls
Solid leadership and communication skills

Nice to have

Experience with AWS and Google cloud ecosystem
Experience in building self-service data services
Crypto background
Familiarity with Kubernetes

WHAT WE OFFER:

The chance to work in a fast-paced start-up environment with experienced industry leaders
A learning environment where you can dive deep into the latest technologies and make an impact
Modern office in San Francisco’s Financial District
Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
Weekly company meeting - ask me anything >
Team outings to sports games, happy hours, game nights and more!

_#LI-DNI

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