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Title
Text copied to clipboard!Big Data Developer
Description
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We are looking for a Big Data Developer to join our dynamic and innovative technology team. As a Big Data Developer, you will be responsible for designing, developing, and maintaining large-scale data processing systems and infrastructure. You will work closely with data scientists, analysts, and other developers to ensure that data is accessible, reliable, and efficiently processed to support business decision-making and analytics.
In this role, you will be expected to build data pipelines, integrate data from various sources, and optimize data processing workflows. You will also be responsible for ensuring data quality, implementing data governance practices, and maintaining data security standards. Your expertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases will be crucial in delivering high-performance data solutions.
The ideal candidate will have a strong background in software engineering, data architecture, and distributed systems. You should be comfortable working in a fast-paced environment and be able to adapt to changing technologies and business needs. Excellent problem-solving skills, attention to detail, and the ability to communicate effectively with both technical and non-technical stakeholders are essential.
If you are passionate about big data and want to work on cutting-edge projects that make a real impact, we encourage you to apply for this exciting opportunity.
Responsibilities
Text copied to clipboard!- Design and develop scalable big data solutions
- Build and maintain data pipelines and ETL processes
- Integrate data from multiple structured and unstructured sources
- Optimize data processing workflows for performance and reliability
- Collaborate with data scientists and analysts to understand data needs
- Ensure data quality, consistency, and security
- Implement data governance and compliance standards
- Monitor and troubleshoot data systems and infrastructure
- Document data architecture and technical specifications
- Stay updated with emerging big data technologies and best practices
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Engineering, or related field
- 3+ years of experience in big data development
- Proficiency in Hadoop, Spark, Kafka, and related technologies
- Strong programming skills in Java, Scala, or Python
- Experience with NoSQL databases like HBase, Cassandra, or MongoDB
- Familiarity with data warehousing and ETL tools
- Understanding of data modeling and data architecture
- Knowledge of cloud platforms such as AWS, Azure, or GCP
- Excellent problem-solving and analytical skills
- Strong communication and teamwork abilities
Potential interview questions
Text copied to clipboard!- What big data technologies have you worked with?
- Can you describe a complex data pipeline you built?
- How do you ensure data quality and consistency?
- Have you worked with cloud-based big data solutions?
- What programming languages are you most comfortable with?
- How do you handle performance optimization in data processing?
- Describe your experience with NoSQL databases.
- How do you stay current with new big data tools and trends?
- Have you implemented any data governance practices?
- What challenges have you faced in big data projects and how did you overcome them?
