Big Data Developer

Hybrid in Irvine, CA, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Unstructured Data
  • Streaming
  • Data Engineering
  • Big Data
  • Apache Hadoop
  • Apache Kafka
  • Cloud Computing
  • Data Warehouse
  • Extract, Transform, Load
  • ETL
  • SQL
  • Python

Summary

Overview

We are seeking a skilled Big Data Developer with expertise in building scalable data pipelines and processing large datasets. The ideal candidate will have hands-on experience with big data technologies, cloud platforms, and data engineering best practices.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Process and transform large volumes of structured and unstructured data.
  • Develop data ingestion, ETL, and batch/streaming solutions.
  • Optimize data processing performance and reliability.
  • Collaborate with data architects, analysts, and business stakeholders.
  • Ensure data quality, governance, and security standards.

Required Skills

  • 8-10 years of experience in Data Engineering or Big Data development.
  • Strong experience with Hadoop, Spark, Hive, Kafka, and SQL.
  • Hands-on experience with Python, Scala, or Java.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of data warehousing and distributed computing concepts.
  • Strong troubleshooting and performance tuning skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1cc9fd
  • Position Id: 9092071
  • Posted 6 hours ago
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Talent Acquisition @ Dataflix Inc.
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