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Title
Text copied to clipboard!Big Data Developer
Description
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We are looking for a skilled and experienced Big Data Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining big data solutions that enable our organization to leverage large volumes of data effectively. You will collaborate closely with data scientists, analysts, and other stakeholders to understand business requirements and translate them into robust, scalable, and efficient big data applications. Your role will involve working with cutting-edge technologies and frameworks such as Hadoop, Spark, Kafka, and NoSQL databases to ensure optimal performance and reliability of our data systems.
As a Big Data Developer, you will be expected to have a deep understanding of data processing techniques, data modeling, and data warehousing concepts. You will be responsible for creating data pipelines, integrating data from various sources, and ensuring data quality and consistency. Additionally, you will be tasked with optimizing existing data solutions, troubleshooting issues, and implementing improvements to enhance system performance and scalability.
The successful candidate will possess strong analytical and problem-solving skills, along with excellent communication and teamwork abilities. You should be comfortable working in a fast-paced environment, managing multiple projects simultaneously, and adapting quickly to changing priorities and requirements. Your ability to stay updated with the latest industry trends and technologies will be crucial in helping our organization maintain a competitive edge in the market.
In this role, you will also be responsible for documenting technical specifications, processes, and procedures clearly and comprehensively. You will participate in code reviews, testing, and deployment activities to ensure the quality and reliability of our big data solutions. Furthermore, you will provide technical guidance and mentorship to junior team members, helping them develop their skills and knowledge in big data technologies.
We offer a collaborative and innovative work environment where your contributions will have a significant impact on our organization's success. You will have the opportunity to work on challenging projects, gain valuable experience, and advance your career in the rapidly growing field of big data. If you are passionate about data, technology, and innovation, we encourage you to apply and become part of our talented team.
Responsibilities
Text copied to clipboard!- Design, develop, and maintain big data applications and solutions.
- Create and optimize data pipelines for efficient data processing.
- Collaborate with data scientists and analysts to understand business requirements.
- Ensure data quality, consistency, and accuracy across systems.
- Troubleshoot and resolve performance issues in big data systems.
- Document technical specifications, processes, and procedures clearly.
- Participate in code reviews, testing, and deployment activities.
- Provide mentorship and technical guidance to junior team members.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience in big data development using Hadoop, Spark, Kafka, or similar technologies.
- Strong knowledge of data modeling, data warehousing, and ETL processes.
- Experience with NoSQL databases such as MongoDB, Cassandra, or HBase.
- Proficiency in programming languages such as Java, Scala, Python, or SQL.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative team environment.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.
Potential interview questions
Text copied to clipboard!- Can you describe your experience working with Hadoop or Spark?
- How do you ensure data quality and consistency in your big data projects?
- What challenges have you faced when developing data pipelines, and how did you overcome them?
- Which programming languages do you prefer for big data development, and why?
- Can you provide an example of a complex big data project you have successfully completed?
