Hadoop Developer
Charlotte, VT - USA
Job Summary
Dear Supplier Partner
Looking for Hadoop Developer for our client.
Location: Charlotte NC (Onsite)
Must Have Technical/Functional Skills
Primary Skill: Hadoop ecosystem (HDFS Hive Spark) PySpark Python Apache Kafka
Experience: Minimum 10 years
Roles & Responsibilities
Architectural Leadership:
Define end-to-end architecture for data platforms streaming systems and web applications.
Ensure alignment with enterprise standards security and compliance requirements.
Evaluate emerging technologies and recommend adoption strategies.
Data Engineering:
Design and implement data ingestion transformation and processing pipelines using Hadoop PySpark and related tools.
Optimize ETL workflows for large-scale datasets and real-time streaming.
Integrate Apache Kafka for event-driven architectures and messaging.
Collaboration & Leadership:
Work closely with product owners business analysts and DevOps teams.
Mentor junior developers and data engineers.
Participate in agile ceremonies code reviews and design discussions.
Required Skills & Qualifications:
Technical Expertise:
Strong experience with Hadoop ecosystem (HDFS Hive Spark).
Proficiency in PySpark for distributed data processing.
Advanced programming skills in Python.
Hands-on experience with Apache Kafka for real-time streaming.
Architectural Skills:
Expertise in designing scalable secure and high-performance systems.
Familiarity with microservices API design and cloud-native architectures.
Additional Skills:
Knowledge of CI/CD pipelines containerization (Docker/Kubernetes).
Exposure to cloud platforms (AWS Azure GCP). Soft Skills: Strong analytical and problem-solving abilities.
Excellent communication and leadership skills.
Ability to thrive in a fast-paced agile environment.