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The Engineering Lead Analyst role at Citigroup is a senior-level position responsible for leading various engineering activities. These include the design, acquisition, and deployment of hardware, software, and network infrastructure in coordination with the Technology team.
The overall objective of this role is to ensure quality standards are being met within existing and planned frameworks. Key responsibilities include:
- Implementing Python-based machine learning models
- Designing, building, and maintaining scalable, reliable, and efficient ETL/ELT pipelines to ingest, transform, and store large volumes of data
- Optimizing data pipelines for performance, cost, and scalability
- Implementing incremental and near-real-time data processing
- Developing and managing database architectures on Oracle
- Strong understanding of CI/CD pipelines to deploy frequently
- Implementing data validation, cleansing strategies
- Working closely with senior analysts and product owners to understand data requirements
- Partnering with other engineers within teams and across teams for effective data integration
- Mentoring junior developers and contributing to best practices and coding standards
- Monitoring and troubleshooting performance bottlenecks in data processing workflows
- Buidling interactive data-driven web applications using React/Angular
- Developing custom dashboards using Tableau or equivalent
- Implementing logging, monitoring, and alerting mechanisms
- Optimizing SQL queries and data ingest jobs
The ideal candidate will have 8+ years of relevant experience in a Data Engineering role, with expertise in Python, ETL, SQL, and Java script. Experience working in Financial Services or a large complex and/or global environment is also preferred.