Citi

Big Data Tech Lead – Vice President

Citi

full-time

Posted on:

Location Type: Hybrid

Location: Tampa • Florida • 🇺🇸 United States

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Salary

💰 $113,840 - $170,760 per year

Job Level

Senior

Tech Stack

AirflowApacheDockerETLHadoopKafkaKubernetesOraclePostgresPythonRedisScalaSparkSQL

About the role

  • 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.

Requirements

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources.
  • 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)
  • Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.).
  • Expertise with data orchestration tool Apache Airflow is mandatory.
  • 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.
  • Bachelor’s degree/University degree or equivalent experience.
  • Master’s degree preferred.
Benefits
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETLELTApache SparkHadoopKafkaPythonScalaSQLApache AirflowData Lakehouse
Soft skills
problem solvinganalytical thinkingcoachingrisk assessmentcommunication