Information TechnologyThe Information Technology team supports almost every area of the Bank by utilizing technology solutions to collect and interpret data for business strategies and providing infrastructure for all business operations. Puneet Rawal, the Chief Information Officer for Credit One Bank, explains why an IT professional should join his team by bringing up one word repeatedly: Growth, with a capital G. “Individuals who have growth aspirations for their career will not find a better place. You want to be in a growing company that can support your growth. We provide that unique mix.” Click hereto learn more about the IT team.Position SummaryThis role is for a Development Data Engineer that 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/Microservices, 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 setupApply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approachesDesign 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, Microservices, Microbatch, 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 systemsEnsure data security by designing controls and protection strategiesEnable application performance and modernization by creating appropriate data capabilities to matchPosition Requirements: 3 years of experience in data engineering, development, and operations roles, including experience with transformational effortsStrong 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 preferredExperience 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 optimizationExperience with production and analytics data, batch, and real time / streaming, etc.Preferred:Experience Coding with GO, Rust and similar.Experience with CI/ CD tools like Gitlab and Gitlab flow. Bachelor’s degree in Math, IT or Computer Science.