{"schemaVersion":"jobsearcher.job.v1","id":"3f990160b1f05a62dcba916e","url":"https://jobsearcher.com/jobs/3f990160b1f05a62dcba916e","canonicalUrl":"https://jobsearcher.com/jobs/3f990160b1f05a62dcba916e","title":"Hadoop Hive Python Developer","description":"Role: Hadoop Hive Python DeveloperLocation: Charlotte, NC (Onsite)Fulltime - PermanentJob DescriptionMust Have Technical/Functional SkillsPrimary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools - Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.Experience: Minimum 9+ yearsRoles & ResponsibilitiesSeeking a Senior Big Data Engineer with 9-14 years of experience specializing in Hadoop, Python, Hive PySpark, Kafka, and strong experience designing data solutions for large-scale financial systems.In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.This role focuses on delivering highly performant, well-governed data platforms that support the bank's mission-critical global markets functions.Key Responsibilities:Big Data Platform EngineeringDesign, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.Develop, tune, and manage Hadoop ecosystem components-HDFS, YARN, MapReduce, Tez, Oozie/Airflow.Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.Databricks Lakehouse & Delta FrameworkArchitect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.Apply Delta Lake best practices including:o optimized file managemento Z-Orderingo Delta Change Data Feed (CDF)o schema evolution & enforcemento ACID transaction handlingBuild reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.Collaboration, Leadership & DeliveryCollaborate closely with quants, product owners, architects, risk tech, and business users.Participate in agile ceremonies - sprint planning, refinement, design reviews.Mentor junior engineers and contribute to building strong engineering practices across tech teams.Required Skills & Experience9-14 years of hands-on experience in Big Data engineering.Expert skills in:o PySpark - dataframe optimizations, partitioning, broadcast strategies, distributed computing.o Kafka - producer/consumer design, schema registry, streaming ETLs.o Hadoop ecosystem - HDFS, YARN, MapReduce/Tez, Oozie/Airflow.o Hive - advanced query tuning, TEZ optimization, partition/bucket management.• Extensive hands-on experience with Databricks Lakehouse, including:o Bronze/Silver/Gold layer modelingo Delta Lake optimizationso Data quality frameworks on Lakehouseo Structured & unstructured data handlingExperience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.Strong SQL knowledge with experience working on massive datasets (TB/PB scale).Experience with CI/CD practices - Git, Jenkins, Bitbucket, build pipelines.","company":"AceStack","rawCompany":"acestack","city":"Charlotte","state":"NC","isRemote":false,"isActive":true,"createdAt":"2026-09-16T12:39:34.285Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Hadoop Hive Python Developer","description":"Role: Hadoop Hive Python DeveloperLocation: Charlotte, NC (Onsite)Fulltime - PermanentJob DescriptionMust Have Technical/Functional SkillsPrimary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools - Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.Experience: Minimum 9+ yearsRoles & ResponsibilitiesSeeking a Senior Big Data Engineer with 9-14 years of experience specializing in Hadoop, Python, Hive PySpark, Kafka, and strong experience designing data solutions for large-scale financial systems.In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.This role focuses on delivering highly performant, well-governed data platforms that support the bank's mission-critical global markets functions.Key Responsibilities:Big Data Platform EngineeringDesign, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.Develop, tune, and manage Hadoop ecosystem components-HDFS, YARN, MapReduce, Tez, Oozie/Airflow.Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.Databricks Lakehouse & Delta FrameworkArchitect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.Apply Delta Lake best practices including:o optimized file managemento Z-Orderingo Delta Change Data Feed (CDF)o schema evolution & enforcemento ACID transaction handlingBuild reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.Collaboration, Leadership & DeliveryCollaborate closely with quants, product owners, architects, risk tech, and business users.Participate in agile ceremonies - sprint planning, refinement, design reviews.Mentor junior engineers and contribute to building strong engineering practices across tech teams.Required Skills & Experience9-14 years of hands-on experience in Big Data engineering.Expert skills in:o PySpark - dataframe optimizations, partitioning, broadcast strategies, distributed computing.o Kafka - producer/consumer design, schema registry, streaming ETLs.o Hadoop ecosystem - HDFS, YARN, MapReduce/Tez, Oozie/Airflow.o Hive - advanced query tuning, TEZ optimization, partition/bucket management.• Extensive hands-on experience with Databricks Lakehouse, including:o Bronze/Silver/Gold layer modelingo Delta Lake optimizationso Data quality frameworks on Lakehouseo Structured & unstructured data handlingExperience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.Strong SQL knowledge with experience working on massive datasets (TB/PB scale).Experience with CI/CD practices - Git, Jenkins, Bitbucket, build pipelines.","datePosted":"2026-09-16T12:39:34.285Z","dateModified":"2026-09-16T12:39:34.285Z","hiringOrganization":{"@type":"Organization","name":"AceStack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3f990160b1f05a62dcba916e"},"url":"https://jobsearcher.com/jobs/3f990160b1f05a62dcba916e"}}