Big Data Developer

Role: Big Data Developer Location:-Charlotte, NCDesired Skills:- Big Data | HadoopSalary Range :-$110,000-$120,000 a yearPrimary Skill:- Data Engineering, Platform Engineering or architecture roles. Deep Expertise in Pyspark.Required Experience: 10+ yrs Roles & Responsibilities Required Hard and Soft Skills / ExperienceDeep Expertise in PySpark, including performance tuning and optimizationStrong python development experience in large-scale distributed environmentSolid 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 solutionProficiency in programming languages such as Java, Scala and SQLStrong understanding of non-functional requirements and production support modelsClear written and verbal communication skills with ability to influence across organizations Preferred Skills / ExperienceFinancial services experience, particularly in Market Surveillance, AML, Fraud, Or Risk TechnologyExperience supporting regulatory or audit facing platformsKafka and Spark Structured streaming exposureFamiliarity with Orchestration tools(Airflow,Control-M,Oozie)Knowledge of data governance, lineage, and data quality controls 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