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Title
Text copied to clipboard!Data Pipeline Engineer
Description
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We are looking for a Data Pipeline Engineer to join our dynamic team. In this role, you will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will ensure that all data systems meet company requirements as well as business needs. This includes creating algorithms to transform data into useful formats, improving data reliability, efficiency, and quality. You will collaborate with data scientists and architects on several projects, making sure that the data ecosystem is robust, efficient, and secure. The ideal candidate will have a strong background in software engineering, data engineering, and data architecture. You will be expected to have an in-depth understanding of data integration, data quality, and data architecture patterns. You should be proficient in programming languages such as Python, Java, Scala, or SQL, and have experience with big data tools like Hadoop, Spark, Kafka, or similar technologies. Your role will also involve monitoring the performance of data processing systems to ensure they meet both user needs and business goals. If you are passionate about data engineering and have a knack for solving complex problems, we would like to meet you.
Responsibilities
Text copied to clipboard!- Design and develop scalable and reliable data pipelines.
- Ensure architectural integrity and compliance with data standards.
- Collaborate with data scientists and analysts to gather requirements.
- Optimize data flow and collection for cross-functional teams.
- Build analytics tools for insight and data accessibility.
- Maintain data pipeline infrastructure for high availability.
- Implement automated processes for data transformations, modeling, and validation.
- Develop set processes for data mining, data modeling, and data production.
- Troubleshoot data pipeline issues and implement improvements.
- Stay updated with new technologies and advocate for their adoption where appropriate.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer, Software Developer, or similar role.
- Expertise in SQL and programming languages such as Python, Java, or Scala.
- Experience with big data tools like Hadoop, Spark, Kafka, etc.
- Knowledge of data modeling, data warehousing, and building ETL pipelines.
- Familiarity with cloud services (AWS, Google Cloud Platform, Azure).
- Strong analytical skills and problem-solving aptitude.
- Ability to work in a fast-paced, team-oriented environment.
- Excellent communication and organizational skills.
- Understanding of machine learning algorithms and analytics tools is a plus.
Potential interview questions
Text copied to clipboard!- Can you describe a data pipeline you designed and implemented?
- How do you ensure data quality and reliability in your pipelines?
- What experience do you have with cloud-based data solutions?
- How do you approach troubleshooting a data pipeline issue?
- What big data tools are you most familiar with, and why?
- Can you explain a complex data model you've worked on?