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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 team. The ideal candidate will have a strong background in software engineering and will be responsible for the design, development, and implementation of big data solutions using Hadoop. You will work closely with our data science team to optimize our Hadoop ecosystem, develop data processing algorithms, and provide support for data analytics. You will also be responsible for troubleshooting and resolving any Hadoop-related issues. This role requires a deep understanding of data architecture, data modeling, and data warehousing concepts. The successful candidate will have a passion for big data technologies and a desire to work in a fast-paced, dynamic environment.
Responsibilities
Text copied to clipboard!- Design and implement scalable Hadoop-based data processing infrastructure.
- Work with data scientists to optimize Hadoop ecosystem.
- Develop data processing algorithms and applications.
- Troubleshoot and resolve Hadoop-related issues.
- Ensure data quality and integrity in databases.
- Perform Hadoop updates and maintain data security.
- Collaborate with team members to meet project goals.
- Develop high-performance algorithms for data extraction.
- Monitor Hadoop cluster job performances and capacity planning.
- Maintain and document all Hadoop processes and procedures.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science or related field.
- Proven experience as a Hadoop Engineer or similar role.
- Strong knowledge of Hadoop, MapReduce, HDFS.
- Experience with data warehousing and ETL tools.
- Proficiency in Java, SQL, and scripting languages.
- Understanding of data architecture, data modeling principles.
- Experience with Hadoop ecosystem tools like Pig, Hive, and Impala.
- Strong problem-solving and communication skills.
- Ability to work in a team and independently.
- Experience with cloud services like AWS or Azure is a plus.
Potential interview questions
Text copied to clipboard!- What is your experience with Hadoop and big data technologies?
- Can you describe a project where you used Hadoop to solve a complex problem?
- How do you ensure data quality in a Hadoop environment?
- Can you explain your experience with data warehousing and ETL tools?
- How do you handle performance tuning in Hadoop?