Job Title: Big Data Engineer

Company Name: Chuwa America

Job Url: https://www.simplyhired.com/job/Ew7EfDQ58DUsv9JkD_2hXL73ckQxhBxYGr9cA4fYCzWIN0HF9_S0ig

Job Description: Lead Big Data Engineer - Only USC or GC
Chuwa America
Remote

Job Details
Contract
$55 - $60 an hour
5 days ago
Qualifications
Performance tuning
Data modeling
Data visualization software proficiency
Data transformation pipeline development
DevOps
Oozie
Spark
R
UNIX
Google Cloud Platform
Apache Hive
Scalable systems
Tableau
Java
SQL
AWS
Spark implementation
Scala
Continuous integration
Apache Pig
Software documentation
APIs
Scalability
Kafka
Distributed computing
Data analytics tools
Real-time data processing implementation
Senior level
Cross-functional collaboration
Python
Cross-functional communication
Hadoop
10 years
Database software proficiency
Full Job Description
Job Title: Big Data Engineer

Experience: 10+ Years
Location: Remote

Job Summary

We are seeking an experienced Big Data Engineer with strong expertise in Hadoop ecosystem, Apache Spark, Python, and Scala programming. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and big data solutions. This role requires strong hands-on experience with distributed data processing frameworks, cloud platforms, and data engineering tools.

Key Responsibilities

Design, develop, and maintain scalable big data pipelines and data processing systems.
Work with large-scale data using Hadoop ecosystem tools such as Hive, Pig, and Oozie.
Develop distributed data processing applications using Apache Spark and Scala.
Build and optimize ETL pipelines for structured and unstructured data.
Work with RDD APIs in Spark for large-scale data transformations and analytics.
Implement data streaming solutions using Kafka for real-time data processing.
Collaborate with cross-functional teams including data analysts, architects, and business stakeholders.
Deploy and manage big data solutions on AWS or GCP cloud platforms.
Ensure performance optimization, scalability, and reliability of data systems.
Maintain documentation, follow best practices, and ensure high-quality code standards.
Required Skills

10+ years of experience in Big Data and Data Engineering.
Strong hands-on experience with Hadoop ecosystem (Hive, Pig, Oozie).
Expertise in Apache Spark and Scala programming.
Hands-on programming experience in Python and Core Java.
Strong understanding of Spark RDD APIs and distributed computing.
Experience with Kafka or other streaming frameworks.
Solid understanding of Data Warehousing concepts and Data Modeling techniques.
Strong proficiency in SQL and working with large datasets.
Experience working in Linux/Unix environments.
Experience with AWS or GCP cloud platforms.
Knowledge of ETL design and development.
Good to Have

Experience with data visualization and analytics tools such as Tableau or R.
Experience with real-time data processing architectures.
Exposure to CI/CD pipelines and DevOps practices.
Experience with performance tuning and optimization in Spark/Hadoop environments.
Pay: $55.00 - $60.00 per hour

Application Question(s):

Are you comfortable to come on our W2?
Work Location: Remote