
Senior Big Data Engineer
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
About the role
- Analyze and optimize existing Hadoop/Spark pipelines to improve processing speed, resource utilization, and reliability
- Identify bottlenecks in data workflows and implement solutions that reduce processing time and costs
- Tune Spark jobs, Hive queries, and Impala performance through partitioning strategies, caching, and execution plan optimization
- Design and build scalable data pipelines using Spark (Scala) to process terabytes of data efficiently
- Develop robust ETL/ELT workflows that integrate data from multiple sources into Hadoop environment and Oracle data warehouses
- Implement data quality checks and monitoring to ensure pipeline reliability
- Work closely with product teams to understand requirements and deliver data solutions
- Participate in code reviews and contribute to engineering best practices
- Document pipeline architecture, data flows, and operational procedures
Requirements
- 6+ years of hands-on experience with Hadoop ecosystem technologies
- Experience in managing and implementing successful projects
- Strong proficiency in Apache Spark with Scala development
- Solid experience with Hive and Impala for large-scale data querying
- Understanding of distributed computing principles and data partitioning strategies
- Experience optimizing Spark jobs and SQL queries for performance
- Proficiency with version control (Git) and CI/CD practices
- Proficiency with streaming frameworks (Kafka)
- Exposure to cloud platforms and technologies is preferred
- Exposure to Databricks is 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 & Tools
HadoopSparkScalaHiveImpalaETLELTSQLdata partitioningdata quality checks
Soft Skills
analytical skillsproblem-solvingcollaborationcommunicationproject managementattention to detaildocumentation