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We are seeking a highly skilled and pragmatic Data Engineer (Applications Development Sr Programmer Analyst - C12) to design, develop, and deploy advanced data solutions. This multifaceted role involves creating smart data solutions by understanding goals and executing tasks with minimal human intervention. The ideal candidate will possess a strong understanding of database design, application data flows, database development and highly performant processing solutions. This hybrid position emphasizes technical leadership, focusing on rapid prototyping, iterative improvement, and delivering measurable business value by translating research ideas into robust, scalable production systems.
Job Responsibility:
Data Development: Design, implement, and deploy highly scalable data solutions, ensuring high performance, reliability, and security
Task Automation & Workflow Optimization: Develop data flows that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
Rapid Delivery: MVP first approach, iterative improvement approach with a focus on 'time to value' (quick iterations, hypothesis testing, A/B experiments)
Research and Innovation: Stay abreast of the latest advancements in data domain, actively participating in the development of proofs of concept (POCs) and exploring new methodologies
Collaboration & Leadership: Work closely with cross-functional teams to integrate with broader products and services
Documentation: Create comprehensive technical documentation for design, implementation, and operational procedures
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
Requirements:
5+ years of software engineering experience with hands-on coding, with a track record of delivering quality solutions on time
Experience in the finance industry is a plus
Strong database development skills with SQL, Stored Procedures and Data Modeling
Strong hands-on experience with developing data solutions with PySpark and Python
Create ELT data pipelines, optimize Spark clusters on containerized environments
Good knowledge of S3 bucket and/or NAS storage systems
Software Engineering: Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews. Understanding of agile methodologies, application resiliency, and security. Proven experience in system design, application development, and operational stability
Application and Data Architecture: Experience with application and data architecture patterns and designs. Thorough understanding of data flows from producer to consumer systems
Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges
Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences
Bachelor’s degree/University degree in computer science or related field or equivalent experience
Nice to have:
ETL Tools: Development experience with one or more ETL tools such as IBM DataStage, Talend, Apache Airflow, SSIS, etc.,
BI Tools: Experience with BI tools like Tableau, etc.,
Containerization: Experience with OpenShift, Docker and Kubernetes