Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
About the role
- Senior Big Data Engineer at Citi responsible for leading application systems analysis and programming activities. Collaborating with management to integrate functions and improve processes.
Responsibilities
- Partner with multiple management teams to ensure appropriate integration of functions to meet goals
- 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
- Provide expertise in area and advanced knowledge of applications programming
- 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 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
Requirements
- 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, Azure, or GCP
- 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
- Prior experience with building distributed, multi-tier applications is highly desirable
- Experience with building apps which are highly performant and scalable will be great
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- planned time off (vacation)
- unplanned time off (sick leave)
- paid holidays
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