Job Description
Role: Senior Hadoop Developer
Location: Charlotte NC/Pennington NJ
Salary Range: $110000 - $130000/Year
Job Description
Must Have Technical/Functional Skills
Primary Skill: Data Engineering Platform Engineering or architecture roles. Deep Expertise in Pyspark.
Experience: 10 yrs
Roles & Responsibilities
Bachelors or masters degree in computer science or related field.
Required Hard and Soft Skills / Experience
- Deep Expertise in PySpark including performance tuning and Eligible to workimization
- Strong python development experience in large-scale distributed environment
- Solid knowledge of Hadoop ecosystem (HDFS Hive/Impala YARN)
- Proven experience designing and governing enterprise regulatory facing data platforms.
- Expertise in designing data lakes ELT/ETL pipelines batch and real time data processing solution
- Proficiency in programming languages such as Java Scala and SQL
- Strong understanding of non-functional requirements and production support models
- Clear written and verbal communication skills with ability to influence across organizations
Preferred Skills / Experience
- Financial services experience particularly in Market Surveillance AML Fraud Or Risk Technology
- Experience supporting regulatory or audit facing platforms
- Kafka and Spark Structured streaming exposure
- Familiarity with Orchestration tools(Airflow Control-M Oozie)
- Knowledge of data governance lineage and data quality controls
Daily Responsibilities/Priorities
- Enterprise & Surveillance Architecture
- Define target state architecture and strategic roadmap for surveillance data processing platforms leveraging HadoopSpark Pyspark and Python
- Establish standard architectural patterns for alert generation enrichment aggregation and reporting pipelines.
- Ensure architecture aligns with enterprise technology standards and Surveillance control expectation
Solution Design and Delivery Support
- Translate surveillance business requirements(e.g market misconduct detection regulatory coverage) into scalable technical designs
- Review and approve detailed technical designs ensuring alignment with functional intent regulatory requirements and architectural standards.
- Provide hands-on architectural guidance to engineering teams during development testing and implementation
- Design and standardization of Spark/Pyspark frameworks supporting surveillance alert generation and enrichment
- Modernization and Eligible to workimization of large-scale Hadoop surveillance workloads to improve performance stability and control coverage
- Implementation of enterprise-consistent architecture patterns enabling audit readiness lineage and regulatory traceability
- Support end-to-end delivery across the SDLC minimizing rework and technical debt
Architecture Governance & Leadership
- Participate in and lead architecture review forums and design walkthroughs
- Mentor senior engineers and promote adEligible to workion of Standard framework and best practices
- Influence enterprise surveillance platform strategy through architecture governance
Documentation & Communication
- Maintain high-quality documentation including business requirement data definitions and process flows
- Proactively communicate risks dependencies and potential timeline impact to stakeholders
Skills: Hadoop
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Job Tags
Full time