Cloud Data Engineer
2 weeks ago
The RoleThe Data Engineer is accountable for developing high quality data products to support theBank's regulatory requirements and data driven decision making. A Data Engineer will serveas an example to other team members, work closely with customers, and remove orescalate roadblocks. By applying their knowledge of data architecture standards, datawarehousing, data structures, and business intelligence they will contribute to businessoutcomes on an agile team.ResponsibilitiesDeveloping and supporting scalable, extensible, and highly available data solutionsDeliver on critical business priorities while ensuring alignment with the widerarchitectural visionIdentify and help address potential risks in the data supply chainFollow and contribute to technical standardsDesign and develop analytical data modelsRequired Qualifications & Work ExperienceFirst Class Degree in Engineering/Technology (4-year graduate course)5 to 8 years' experience implementing data-intensive solutions using agilemethodologiesExperience of relational databases and using SQL for data querying, transformationand manipulationExperience of modelling data for analytical consumersAbility to automate and streamline the build, test and deployment of data pipelinesExperience in cloud native technologies and patternsA passion for learning new technologies, and a desire for personal growth, throughself-study, formal classes, or on-the-job trainingExcellent communication and problem-solving skillsTechnical Skills (Must Have)ETL:Hands on experience of building data pipelines. Proficiency in two or more dataintegration platforms such as Ab Initio, Apache Spark, Talend and InformaticaBig Data: Experience of 'big data' platforms such as Hadoop, Hive or Snowflake fordata storage and processingData Warehousing & Database Management: Understanding of DataWarehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,DynamoDB) database designData Modeling & Design: Good exposure to data modeling techniques; design,optimization and maintenance of data models and data structuresLanguages: Proficient in one or more programming languages commonly used indata engineering such as Python, Java or ScalaDevOps: Exposure to concepts and enablers - CI/CD platforms, version control,automated quality control managementTechnical Skills (Valuable)Ab Initio: Experience developing Co>Op graphs; ability to tune for performance.Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT,Data Profiler and Conduct>IT, Control>Center, Continuous>Flows-Job Family Group:Technology-Job Family:Digital Software Engineering-Time Type:Full time-Most Relevant SkillsPlease see the requirements listed above.-Other Relevant SkillsFor complementary skills, please see above and/or contact the recruiter.-Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
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Data Engineer
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Senior sales and Service cloud Engineer
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Sales and Service Cloud Engineer
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