Note: The job is a remote job and is open to candidates in USA. First Citizens Bank is seeking a Senior Data Engineer to lead the design, implementation, and optimization of complex data solutions. The role focuses on building advanced data pipelines, warehouses, analytics platforms, governance frameworks, and performance solutions while mentoring junior engineers and collaborating with stakeholders.
Responsibilities
- Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities
- Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources
- Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards
- Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
- Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy
Skills
- Advanced data modeling and architecture
- ETL processes and tools (e.g., DBTran, IICS, DataStage, SSIS, Apache Spark, Airflow)
- Big data technologies (e.g., Snowflake, Hadoop, Spark) (Expert, Required)
- Cloud data platforms (e.g., AWS, Azure, GCP)
- Data streaming and real-time processing
- Machine learning integration
- Bachelor's Degree and 4 years' experience OR High School Diploma or GED/Equivalent and 8 years' experience in Data engineering, big data technologies, cloud platforms
- Preferred Area of Study:Computer Science, Information Systems, Data Science, or related field
- Preferred Area of Experience:Machine learning operations, data science collaboration
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