Job Description

Job Description

Job Description

Job Title: Sr. Hadoop Developer

Location: Wilmington, Delaware - Onsite

Duration: 1 Year

Job Description:

• Familiar with integrating data streaming platforms like Kafka for real-time data ingestion and processing, ensuring scalability and fault tolerance.
• 8+ years of hands-on experience in the Hadoop ecosystem with expertise in PySpark for data processing and transformation.
• Proficient in writing and optimizing complex Hive and Spark queries for efficient data retrieval and manipulation.
• Strong experience handling large volumes of data, particularly in the banking domain, with a focus on data governance, security, and compliance.
• Solid working knowledge of Linux commands for file handling, process management, and system troubleshooting.
• Experience working with Cloudera distribution, including cluster management, troubleshooting, and performance tuning, along with expertise in YARN for
• Hands-on experience with Oozie for scheduling and managing complex ETL workflows and job orchestration.
• Proven ability to manage real-time data processing pipelines and large-scale financial data for critical business applications.
• In-depth experience with Apache Spark distribution (e.g., Spark on YARN, Spark SQL) for high-performance distributed data processing, tuning, and opti
• Basic understanding of Hadoop administration tasks, including cluster monitoring, tuning, and troubleshooting, with familiarity in Ambari for cluster
• Collaborate with cross-functional teams to align data solutions with business requirements.
• Create and maintain comprehensive documentation for processes, workflows and configurations.
• Participate in code reviews, quality assurance and release planning processes.
• Experience in the banking domain is good to have.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Attention to detail and focus on delivering high-quality solutions.

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