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Title
Text copied to clipboard!Big Data Developer
Description
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We are looking for a highly skilled Big Data Developer to join our dynamic team. The ideal candidate will have extensive experience in designing, developing, and managing big data solutions. You will be responsible for handling large datasets, ensuring data quality, and optimizing data processing workflows. Your role will involve working closely with data scientists, analysts, and other stakeholders to understand their data needs and provide efficient solutions. You should be proficient in various big data technologies such as Hadoop, Spark, and NoSQL databases. Additionally, you will be expected to stay updated with the latest industry trends and best practices to ensure our data infrastructure is robust and scalable. The successful candidate will have strong problem-solving skills, excellent communication abilities, and a passion for working with data. You will also be responsible for ensuring data security and compliance with relevant regulations. If you are a self-motivated individual with a keen eye for detail and a desire to work in a fast-paced environment, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and develop big data solutions.
- Manage and optimize data processing workflows.
- Ensure data quality and integrity.
- Collaborate with data scientists and analysts.
- Implement data security measures.
- Stay updated with industry trends and best practices.
- Troubleshoot and resolve data-related issues.
- Develop and maintain data pipelines.
- Optimize performance of big data applications.
- Ensure compliance with data regulations.
- Document data processes and workflows.
- Provide technical support to team members.
- Conduct code reviews and provide feedback.
- Participate in project planning and estimation.
- Develop and implement data storage solutions.
- Monitor and maintain data infrastructure.
- Perform data analysis and reporting.
- Automate data processing tasks.
- Evaluate and recommend new technologies.
- Ensure scalability of data solutions.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science or related field.
- 3+ years of experience in big data development.
- Proficiency in Hadoop, Spark, and NoSQL databases.
- Strong programming skills in Java, Python, or Scala.
- Experience with data warehousing solutions.
- Knowledge of data security and compliance.
- Excellent problem-solving skills.
- Strong communication abilities.
- Ability to work in a fast-paced environment.
- Experience with cloud platforms like AWS or Azure.
- Familiarity with data visualization tools.
- Understanding of machine learning concepts.
- Experience with ETL processes.
- Ability to work independently and as part of a team.
- Strong attention to detail.
- Experience with version control systems.
- Knowledge of data governance practices.
- Ability to manage multiple projects simultaneously.
- Strong analytical skills.
- Passion for working with data.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with Hadoop and Spark?
- How do you ensure data quality in your projects?
- What steps do you take to optimize data processing workflows?
- Can you provide an example of a challenging data-related issue you resolved?
- How do you stay updated with the latest industry trends?
- What is your experience with data security and compliance?
- How do you handle large datasets efficiently?
- Can you describe a project where you collaborated with data scientists or analysts?
- What programming languages are you proficient in?
- How do you ensure the scalability of your data solutions?
- What cloud platforms have you worked with?
- Can you describe your experience with ETL processes?
- How do you approach troubleshooting data-related issues?
- What data visualization tools are you familiar with?
- How do you manage multiple projects simultaneously?
- What is your experience with data warehousing solutions?
- Can you describe your understanding of machine learning concepts?
- How do you document data processes and workflows?
- What version control systems have you used?
- How do you ensure data governance in your projects?