Padmi

BIG DATA ENGINEER

San Francisco Bay Area · OnsitePosted 3 months ago
Software engineeringUnspecified
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Client: Confidential | Engagement: C2C | Work mode: ONSITE | Rate: 60-90 USD | Experience: 12 | Visa types: H-1B | Publisher job id: JOB-1784585976148

Job Title: Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ

Role Overview

We are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ecosystem, and Apache Ozone. The ideal candidate will design, develop, and optimize large-scale data processing systems, ensuring high performance, scalability, and reliability for enterprise-level applications. Key Responsibilities: • Design and implement distributed data processing solutions using Apache Spark, Hadoop, Flink • Develop and maintain Spark applications for data transformation, aggregation, and ETL processes using Scala, Java, or Python • Utilize Apache Ozone for storing large-scale datasets, ensuring efficient data access and management in a distributed environment • Manage and optimize HDFS and Apache Ozone, Kafka for scalable and fault-tolerant storage. • Develop ETL pipelines for batch and real-time data ingestion and transformation. • Implement and ensure data validation, data security, integrity, and compliance across big data platforms. • Monitor and troubleshoot performance issues in large-scale clusters. • Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions. • Automate workflows and improve operational efficiency using scripting and orchestration tools. Required Skills & Qualifications: • Strong expertise in Apache Spark (Core, SQL, Streaming). • Hands-on experience with Hadoop ecosystem (HDFS, YARN, MapReduce). • Proficiency in Apache Ozone for object storage and integration with Hadoop. • Solid programming skills in Java , Scala , or Python. • Experience with Hive, HBase , and Kafka is a plus. • Knowledge of cluster management and resource optimization. • Familiarity with Linux/Unix environments and shell scripting. • Understanding of data security, governance, and compliance standards. • Experience with cloud-based big data platforms • Exposure to containerization (Docker, Kubernetes) for big data workloads. • Knowledge of CI/CD pipelines for data engineering projects. Behavioral Skills: • Good Communication skills • 5 days Work from Office at Berkley Heights, NJ • Team Player • Ability to work in a changing environment • Strong problem solving and analytical skills • Ability to work independently or within a team • Manage day-to-day challenges and communicate developmental risks with the technical team

Qualifications

  • • Bachelor’s degree in computer science, Software Engineering, or a related field. • Proficiency in business process modeling and documentation tools. • Product implementation experience is preferred

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BIG DATA ENGINEER at Prophecy Technologies · Padmi