citi.com
Data Engineer – C11/ Officer
citi.com, Trenton, New Jersey, United States,
Job Title:
Data Engineer –
C11/ OfficerThe RoleThe Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.ResponsibilitiesDeveloping and supporting scalable, extensible, and highly available data solutionsDeliver on critical business priorities while ensuring alignment with the wider architectural visionIdentify and help address potential risks in the data supply chainFollow and contribute to technical standardsRequired QualificationsProficient in one or more programming languages commonly used in data engineering such as Python, Java or ScalaExperience of relational databases and using SQL for data querying, transformation and manipulationA passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job trainingExcellent communication and problem-solving skillsBA/BS degree or equivalent work experiencePreferred QualificationsFamiliarity with data processing and integration tools such as Ab Initio or InformaticaExperience of open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable assetAbility to automate and streamline the build, test and deployment of data pipelinesExperience in cloud native technologies and patterns (AWS, Google Cloud)Exposure to ‘big data’ platforms such as Hadoop or Snowflake for data storage and processing0 - 2 years of experience
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Data Engineer –
C11/ OfficerThe RoleThe Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.ResponsibilitiesDeveloping and supporting scalable, extensible, and highly available data solutionsDeliver on critical business priorities while ensuring alignment with the wider architectural visionIdentify and help address potential risks in the data supply chainFollow and contribute to technical standardsRequired QualificationsProficient in one or more programming languages commonly used in data engineering such as Python, Java or ScalaExperience of relational databases and using SQL for data querying, transformation and manipulationA passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job trainingExcellent communication and problem-solving skillsBA/BS degree or equivalent work experiencePreferred QualificationsFamiliarity with data processing and integration tools such as Ab Initio or InformaticaExperience of open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable assetAbility to automate and streamline the build, test and deployment of data pipelinesExperience in cloud native technologies and patterns (AWS, Google Cloud)Exposure to ‘big data’ platforms such as Hadoop or Snowflake for data storage and processing0 - 2 years of experience
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