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Title
Text copied to clipboard!Data Platform Engineer
Description
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We are looking for a highly skilled Data Platform Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, cloud technologies, and software development. You will be responsible for designing, building, and maintaining scalable data platforms that support our organization's data needs. This role requires a deep understanding of data architecture, data modeling, and data integration techniques. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is robust, efficient, and secure. Your primary focus will be on developing and optimizing data pipelines, ensuring data quality, and implementing best practices for data management. Additionally, you will be responsible for monitoring and troubleshooting data platform issues, as well as continuously improving the performance and scalability of our data systems. The successful candidate will have excellent problem-solving skills, a proactive attitude, and the ability to work in a fast-paced, collaborative environment. If you are passionate about data and have a proven track record of building and maintaining data platforms, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and develop scalable data platforms.
- Build and maintain data pipelines for ETL processes.
- Ensure data quality and integrity across all data systems.
- Collaborate with data scientists and analysts to meet data needs.
- Implement best practices for data management and governance.
- Monitor and troubleshoot data platform issues.
- Optimize data storage and retrieval for performance and scalability.
- Develop and maintain documentation for data systems and processes.
- Stay up-to-date with the latest data engineering technologies and trends.
- Participate in code reviews and provide constructive feedback.
- Automate data workflows and processes.
- Ensure data security and compliance with relevant regulations.
- Work with cloud platforms such as AWS, Azure, or Google Cloud.
- Implement data integration solutions for various data sources.
- Develop and maintain data models and schemas.
- Collaborate with cross-functional teams to deliver data solutions.
- Provide technical support and guidance to team members.
- Continuously improve data platform performance and reliability.
- Conduct performance tuning and optimization of data systems.
- Participate in on-call rotations for data platform support.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in data engineering or related roles.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with SQL and NoSQL databases.
- Strong understanding of data architecture and data modeling.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of ETL processes and data integration techniques.
- Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
- Experience with data warehousing solutions like Redshift, BigQuery, or Snowflake.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment.
- Experience with data visualization tools like Tableau or Power BI.
- Knowledge of data governance and compliance standards.
- Experience with version control systems like Git.
- Ability to write clean, maintainable, and efficient code.
- Strong attention to detail and commitment to data quality.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with machine learning and AI concepts.
- Ability to mentor and guide junior team members.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with building and maintaining data platforms?
- How do you ensure data quality and integrity in your data pipelines?
- What cloud platforms have you worked with, and what services did you use?
- Can you provide an example of a challenging data engineering problem you solved?
- How do you stay up-to-date with the latest data engineering technologies and trends?
- What is your experience with big data technologies like Hadoop, Spark, or Kafka?
- How do you approach performance tuning and optimization of data systems?
- Can you describe a time when you had to troubleshoot a complex data platform issue?
- What best practices do you follow for data management and governance?
- How do you collaborate with data scientists and analysts to meet their data needs?
- What is your experience with data warehousing solutions like Redshift, BigQuery, or Snowflake?
- How do you ensure data security and compliance with relevant regulations?
- Can you describe your experience with ETL processes and data integration techniques?
- What programming languages are you proficient in, and how have you used them in your work?
- How do you handle version control and code reviews in your projects?
- What is your experience with data visualization tools like Tableau or Power BI?
- Can you describe a project where you implemented data models and schemas?
- How do you automate data workflows and processes?
- What is your experience with containerization and orchestration tools like Docker and Kubernetes?
- How do you mentor and guide junior team members in your team?
