Hadoop Developer

3 weeks ago


Singapur, Singapore Unison Consulting Pte Ltd Full time

Job Description:

We are seeking a skilled and experienced Hadoop Developer to join our team. As a Hadoop Developer at Unison Consulting, you will be responsible for designing, developing, and maintaining our Hadoop-based data processing and analytics solutions. You will work with a team of talented data engineers and data scientists to build efficient and scalable data pipelines, leveraging the power of Hadoop technologies.

Responsibilities:

  • Hadoop Development: Design, develop, and maintain Hadoop-based data processing applications, workflows, and pipelines.
  • Big Data Processing: Leverage Hadoop technologies such as HDFS, MapReduce, Spark, Hive, and HBase for batch and real-time data processing.
  • Data Ingestion: Develop and optimize data ingestion processes, ensuring data is collected, transformed, and loaded into the Hadoop cluster efficiently.
  • Performance Optimization: Monitor and optimize the performance of Hadoop jobs and data pipelines to ensure scalability and efficiency.
  • Data Transformation: Transform and prepare data for analysis, ensuring data quality, integrity, and compatibility with downstream applications.
  • Troubleshooting: Identify and resolve data processing issues in a timely manner.
  • Collaboration: Work closely with data engineers, data scientists, and other cross-functional teams to understand data requirements and deliver effective solutions.
  • Documentation: Create and maintain comprehensive documentation of Hadoop configurations and data processing workflows.

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Hadoop Developer with strong knowledge of Hadoop ecosystem components (HDFS, MapReduce, Spark, Hive, HBase).
  • Proficiency in Java, Scala, or Python programming for building data processing applications.
  • Hands-on experience with data ingestion, transformation, and ETL processes using Hadoop.
  • Familiarity with data processing tools and frameworks such as Pig, Sqoop, and Flume.
  • Strong knowledge of SQL and experience with relational databases.
  • Experience with performance tuning and optimization of Hadoop applications.
  • Good understanding of data warehousing concepts and methodologies.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication skills to collaborate with team members and stakeholders.
  • Ability to work in a fast-paced, dynamic environment and adapt to changing technologies and project requirements.
  • Experience with cloud platforms and technologies is a plus.

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