Senior Big Data Engineer (Apps Dev Tech Lead)

Senior Big Data Engineer (Apps Dev Tech Lead) | Citi Careers

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating 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

• 6-10 years of experience with Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources.
• Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka.
• Proficiency in programming languages like Python, or Scala.
• Strong expertise in data processing frameworks such as Apache Spark, Hadoop.
• Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
• Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery).
• Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.).
• Experience with data orchestration tools like Apache Airflow or Prefect.
• Familiarity with containerization (Docker, Kubernetes) is a plus
• Distributed caching solutions (Hazelcast or Redis)
• Prior experience with building distributed, multi-tier applications is highly desirable.
• Experience with building apps which are highly performant and scalable will be great

• medical, dental & vision coverage
• 401(k); life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

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