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Title
Text copied to clipboard!Data Pipeline Developer
Description
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We are looking for a skilled Data Pipeline Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines that ensure the efficient flow of data across various systems. You will work closely with data engineers, data scientists, and other stakeholders to understand data requirements and implement solutions that meet business needs. Your role will involve optimizing data flow and collection for cross-functional teams, ensuring data quality and integrity, and troubleshooting any issues that arise. You will also be expected to stay up-to-date with the latest industry trends and technologies to continuously improve our data infrastructure. The successful candidate will have a strong background in data engineering, excellent problem-solving skills, and the ability to work in a fast-paced environment. If you are passionate about data and have a knack for building efficient data pipelines, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and develop scalable data pipelines.
- Collaborate with data engineers and data scientists to understand data requirements.
- Implement data integration solutions to ensure seamless data flow.
- Optimize data pipelines for performance and scalability.
- Monitor and maintain data pipeline performance.
- Ensure data quality and integrity throughout the data lifecycle.
- Troubleshoot and resolve data pipeline issues.
- Document data pipeline processes and procedures.
- Stay updated with the latest industry trends and technologies.
- Participate in code reviews and provide constructive feedback.
- Develop and maintain ETL processes.
- Work with cloud-based data storage and processing solutions.
- Implement data security and compliance measures.
- Automate data pipeline processes where possible.
- Collaborate with cross-functional teams to support data-driven decision making.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in data pipeline development.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data integration tools like Apache NiFi, Talend, or Informatica.
- Strong understanding of ETL processes and data warehousing concepts.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of SQL and NoSQL databases.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment.
- Experience with version control systems like Git.
- Understanding of data security and compliance requirements.
- Ability to write clean, maintainable, and efficient code.
- Experience with containerization technologies like Docker.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with data pipeline development?
- What programming languages are you proficient in?
- How do you ensure data quality and integrity in your pipelines?
- Can you provide an example of a challenging data pipeline issue you resolved?
- What tools and technologies do you prefer for data integration?
- How do you stay updated with the latest industry trends?
- Can you describe your experience with cloud platforms?
- How do you approach optimizing data pipeline performance?
- What is your experience with ETL processes?
- How do you handle data security and compliance in your pipelines?
