✦ Luna Orbit — Data & Analytics

Lead Big Data Engineer - Only USC or GC

at Chuwa America

📍 Remote, US Remote 💰 $55 – $60 USD / year Posted March 10, 2026
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Position Details

Salary $55 – $60 USD / year
Type Not Specified
Experience senior
Exp. Years 10+ years
Education Not specified
Category Data & Analytics

About this role

Seeking an experienced Big Data Engineer to design, develop, and maintain scalable data pipelines and solutions using Hadoop, Spark, and cloud platforms. The role involves working with large-scale data processing frameworks and optimizing data systems for performance and scalability.

Key Responsibilities

  • Design and maintain data pipelines
  • Work with Hadoop and Spark frameworks
  • Develop ETL processes
  • Optimize data processing performance
  • Collaborate with cross-functional teams

Technical Overview

The role involves working with Hadoop ecosystem tools such as Hive, Pig, Oozie, and Apache Spark, along with programming in Python and Scala. Cloud platforms like AWS and GCP are integral, with a focus on ETL, distributed processing, and data modeling.

Ideal Candidate

The ideal candidate is a senior Big Data Engineer with over 10 years of experience in data engineering, proficient in Hadoop ecosystem, Apache Spark, Python, and Scala. They possess strong hands-on experience with distributed data processing frameworks, cloud platforms, and ETL pipeline development.

Must-Have Skills

10+ years of experienceHadoop ecosystem (HivePigOozie)Apache Spark and Scala programmingPythonKafkaSQLLinux/UnixAWS or GCP cloud platformsETL design and development

Nice-to-Have Skills

data visualizationreal-time data processingCI/CD pipelinesDevOpsperformance tuning in Spark/Hadoop

Tools & Platforms

HadoopApache SparkHivePigOozieKafkaAWSGCPLinux/Unix

Required Skills

Hadoop ecosystemApache SparkPythonScalaHivePigOozieKafkaSpark RDD APIsAWSAmazon Web ServicesGCPGoogle Cloud PlatformETLdistributed data processingLinux/UnixData WarehousingData Modeling

Hard Skills

Hadoop ecosystemApache SparkPythonScalaHivePigOozieKafkaSpark RDD APIsAWSAmazon Web ServicesGCPGoogle Cloud PlatformETLdistributed data processingLinux/UnixData WarehousingData Modeling

Soft Skills

communicationcollaborationproblem-solvingperformance optimizationscalabilityreliabilitydocumentationbest practices

Industry & Role

Industry Technology
Job Function Data Engineering and Big Data Pipeline Development

Keywords for Your Resume

Big Data EngineerHadoop ecosystemApache SparkPythonScalaHivePigOozieKafkaSpark RDD APIsAWSAmazon Web ServicesGCPGoogle Cloud PlatformETLdistributed data processingLinux/UnixData WarehousingData Modeling

Deal Breakers

Less than 10 years of experience, Lack of experience with Hadoop, Spark, or cloud platforms, No experience with ETL or distributed data processing

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