Role: Senior Developer Hadoop
Location: Charlotte NC/Pennington NJ
Fulltime – Permanent
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
Bachelor’s or master’s degree in computer science or related field.
· Required Hard and Soft Skills / Experience
· Deep Expertise in PySpark, including performance tuning and optimization
· 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 Hadoop,Spark, 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 Optimization 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 adoption 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
· Non-Functional requirement and product Readiness