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The Applications Development Senior Big Data Engineer is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis, development and maintenance activities. This role requires hands-on development and participation in entire software/application development lifecycle
Job Responsibility:
Manage one or more Applications Development teams in an effort to accomplish established goals
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Review/analyze/develop proposed technical solutions for projects
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
Requirements:
Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work
Strong proficiency in Spark for development work related to curation/conformance
Strong Scala development (with previous Java background) preferred
Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging
Strong data analysis skills and the ability to slice and dice the data as needed for business reporting, SQL Server, NoSQL (MongoDB) database integration and data distribution principles experience
Relational SQL (Oracle
Leadership & Mentorship: Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth
Communication Skills: Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences
DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes
Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping
Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively
Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams
Nice to have:
Experience with Graph Databases like Neo4j
Experience with API development and use of JSON/XML data formats
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