Big Data Engineer Job at Citi (Tampa)

Big Data Engineer

Citi

Location:
United States , Tampa

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

96960.00 - 145440.00 USD / Year

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Job offer has expired

Job Description:

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Job Responsibility:

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
Appropriately assess risk when business decisions are made, demonstrating particular 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

Requirements:

5-8 years of relevant experience
In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms
Experience with HDFS commands and administration
Solid understanding of YARN resource management and job scheduling
Fundamental understanding of MapReduce programming paradigm
Knowledge of Zookeeper for distributed coordination services
Strong proficiency in Spark Core, Spark SQL, Spark Streaming, and Spark GraphX
Expert-level programming skills in Scala, specifically for developing Spark applications
Experience with Spark performance optimization techniques
Familiarity with deploying Spark applications on YARN, Mesos, or Kubernetes
Advanced proficiency in writing complex HiveQL queries
Understanding of Hive metastore, execution engines, and storage formats
Experience in optimizing Hive queries and table designs for performance
Strong object-oriented and functional programming skills
Experience with Scala build tools (SBT, Maven)
Knowledge of common Scala libraries and frameworks
Experience with PySpark for data processing
Familiarity with data manipulation libraries (Pandas, NumPy)
Scripting for automation and data orchestration
Complex query writing, subqueries, window functions, and performance tuning
HBase (for real-time access to large datasets within Hadoop)
Cassandra, MongoDB, or similar
Familiarity with RDBMS concepts and SQL for data integration
Understanding of dimensional modeling, fact and dimension tables, star/snowflake schemas
Data Ingestion Tools: Apache Sqoop, Apache Flume, Kafka
Workflow Orchestration: Apache Oozie, Apache Airflow
Experience with AWS (EMR, S3, Glue, Lambda), Azure (HDInsight, Data Lake, Databricks), or Google Cloud Platform (Dataproc, BigQuery)
Version Control: Git (GitHub, GitLab, Bitbucket)
CI/CD: Experience with Jenkins, GitLab CI, Azure DevOps, or similar tools
Monitoring and Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus
Agile Development: Familiarity with Agile/Scrum methodologies
Shell Scripting: For automation and system administration tasks
Bachelor’s degree/University degree or equivalent experience

What we offer:

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
discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
March 14, 2026

Expiration:
March 15, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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