Hadoop Developer

Role: Senior Hadoop Developer

Location: Jersey City, NJ / Penningto NJ

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