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Title
Text copied to clipboard!Hadoop Developer
Description
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We are looking for a skilled Hadoop Developer to join our data engineering team. As a Hadoop Developer, you will be responsible for designing, developing, and maintaining scalable big data solutions using the Hadoop ecosystem. You will work closely with data scientists, analysts, and other developers to ensure efficient data processing and storage solutions that support business intelligence and analytics initiatives.
The ideal candidate will have a strong background in software development, data engineering, and distributed systems. You should be comfortable working with large datasets and have experience with tools such as HDFS, MapReduce, Hive, Pig, HBase, and Spark. You will also be expected to write efficient and maintainable code, optimize data workflows, and troubleshoot performance issues.
In this role, you will be responsible for building data pipelines, integrating data from various sources, and ensuring data quality and consistency. You will also contribute to the design and implementation of data models and schemas that support analytical and operational use cases. Collaboration and communication skills are essential, as you will be working in a cross-functional team environment.
We value innovation, problem-solving, and a passion for working with data. If you are looking to work on challenging projects that make a real impact, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Design and implement big data solutions using Hadoop ecosystem tools
- Develop and maintain data pipelines and ETL processes
- Optimize data processing workflows for performance and scalability
- Collaborate with data scientists and analysts to support data needs
- Ensure data quality, consistency, and security across systems
- Monitor and troubleshoot Hadoop cluster performance issues
- Write clean, maintainable, and well-documented code
- Participate in code reviews and contribute to best practices
- Integrate data from various structured and unstructured sources
- Support deployment and maintenance of production data systems
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Engineering, or related field
- Proven experience as a Hadoop Developer or similar role
- Strong knowledge of Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, etc.)
- Experience with Spark, Kafka, and other big data technologies
- Proficiency in Java, Scala, or Python
- Familiarity with data modeling and schema design
- Understanding of distributed systems and parallel processing
- Experience with version control systems like Git
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
Potential interview questions
Text copied to clipboard!- How many years of experience do you have with Hadoop technologies?
- Can you describe a big data project you’ve worked on?
- What tools do you use for data pipeline development?
- How do you ensure data quality in your workflows?
- What is your experience with Spark or Kafka?
- How do you handle performance tuning in Hadoop clusters?
- Are you comfortable working in a cross-functional team?
- What programming languages are you most proficient in?
- Have you worked with cloud-based big data platforms?
- What challenges have you faced in big data development?
