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Description Position Summary The Software Engineer will assist in designing, developing, and deploying data-driven solutions as part of a strategic data transformation effort. The candidate will join a team of Data Architects and Engineers who will be responsible for optimizing and transforming our data architecture, infrastructure, operations, and related functions. This team will work with developers, architects, business / data analysts and data scientists on data initiatives and will ensure optimal data solutions. Essential Job Functions • Leverage modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types – including support for OLTP and API/Micro-services, data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc. • Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup • Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches • Design and Implement Data Services (DaaS) for consumption and various manipulations throughout the Data Ecosystem applying the “contract first” design principle and including use of API, Micro-services, Micro-batch, ELT Pipeline and other methods. • Build best-practice driven data ingestion, develop tooling for increasing scale, accuracy, and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems • Ensure data security by designing controls and protection strategies • Enable application performance and modernization by creating appropriate data capabilities to match • Identify bottlenecks and issues and provide solutions to mitigate and address these issues. • Makes a habit of covering most of their code with unit tests. • Estimate efforts and ensure that work is completed on time. • Responsible for code reviews and merges Position Requirements • Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands on experience using tools is strongly preferred • Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, ElasticSearch (ELK), JSON, Parquet, Avro and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages • Knowledge of Design Patterns for Software and Data Engineering. • Experience Coding with Java, JavaScript (Nodejs), Python. • Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization • Experience with production and analytics data, batch, and real time / streaming, etc. Preferred • BS or advanced degree in Computer Science, or a related field • 2+ years of experience in software development Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees. job perk: Posted At: 7 hours ago, job perk: Schedule Type: Full-time