Hadoop Developer

We are looking for an enthusiastic and self-motivated individual who is passionate about data and has a strong desire to learn and grow in a fast-paced environment

Job Title: Hadoop Developer

Location: San Francisco, California, United States

Salary: $100 Per hour

Employment Type: Contract

Company Description: Lobox

Job Description: We are seeking an experienced Hadoop Developer to join our dynamic and rapidly growing team. As a Hadoop Developer, you will be responsible for designing, developing, and maintaining our Hadoop-based applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and high-performance solutions.

Key Responsibilities:

• Design and develop Hadoop-based applications using Java, Scala, and other Hadoop ecosystem components.
• Develop and maintain ETL processes to ingest, transform, and load large volumes of data into Hadoop.
• Optimize Hadoop jobs for performance and scalability.
• Troubleshoot and resolve issues in the Hadoop environment.
• Collaborate with data scientists and analysts to understand data requirements and assist in building data pipelines.
• Work closely with DevOps and infrastructure teams to ensure the stability and availability of the Hadoop cluster.
• Keep up-to-date with the latest Hadoop technologies and recommend improvements to our existing infrastructure.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in developing Hadoop-based applications.
• Strong experience in Java or Scala programming languages.
• Experience with Hadoop ecosystem components such as HDFS, MapReduce, Hive, HBase, etc.
• Experience with ETL tools and processes.
• Good understanding of SQL and relational databases.
• Experience with data warehousing concepts and techniques.
• Knowledge of Linux/Unix operating systems.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Experience with cloud-based Hadoop platforms such as AWS, Azure, or Google Cloud.
• Experience with real-time data processing using Kafka or Spark Streaming.
• Experience with NoSQL databases such as Cassandra, MongoDB, etc.
• Experience with data visualization tools such as Tableau, Power BI, etc.
• Certifications in Hadoop or related technologies.

If you have a proven track record of developing and maintaining Hadoop applications, we want to hear from you! Apply now and be a part of our exciting journey towards building innovative data solutions.