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Title
Text copied to clipboard!Hadoop Engineer
Description
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We are looking for a skilled Hadoop Engineer to join our data engineering team. As a Hadoop Engineer, 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 engineers to ensure the efficient processing, storage, and retrieval of large datasets. Your role will involve building data pipelines, optimizing data workflows, and ensuring data quality and security. You should have a strong understanding of distributed computing, data modeling, and performance tuning within Hadoop environments. Experience with tools such as HDFS, MapReduce, Hive, Pig, Spark, and related technologies is essential. You will also be expected to troubleshoot issues, monitor cluster health, and implement best practices for data management. The ideal candidate is proactive, detail-oriented, and passionate about leveraging big data technologies to solve complex business problems. You should be comfortable working in a fast-paced environment and collaborating with cross-functional teams. Strong communication skills and the ability to document processes and solutions are also important. If you are eager to work on cutting-edge data projects and help drive data-driven decision-making, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Design and implement Hadoop-based data solutions
- Develop and maintain data pipelines using Hadoop ecosystem tools
- Optimize data workflows for performance and scalability
- Monitor and troubleshoot Hadoop cluster issues
- Ensure data quality, security, and compliance
- Collaborate with data scientists and analysts
- Document processes, configurations, and solutions
- Implement best practices for data management
- Perform data modeling and schema design
- Support ETL processes and data integration
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science or related field
- Proven experience with Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, Spark)
- Strong programming skills in Java, Scala, or Python
- Experience with distributed computing and big data architectures
- Familiarity with data modeling and ETL processes
- Knowledge of data security and compliance standards
- Excellent problem-solving and troubleshooting skills
- Ability to work collaboratively in a team environment
- Strong communication and documentation skills
- Experience with cloud platforms is a plus
Potential interview questions
Text copied to clipboard!- Describe your experience with Hadoop and related technologies.
- How do you optimize data workflows in a Hadoop environment?
- What challenges have you faced with distributed computing?
- Can you explain your approach to ensuring data quality?
- How do you monitor and troubleshoot Hadoop clusters?
- What programming languages are you most comfortable with?
- Describe a complex data pipeline you have built.
- How do you stay updated with big data technologies?
- Have you worked with cloud-based Hadoop solutions?
- What is your experience with data security in big data environments?
