Text copied to clipboard!

Title

Text copied to clipboard!

Data Platform Engineer

Description

Text copied to clipboard!
We are looking for a Data Platform Engineer to join our team and play a critical role in designing, building, and maintaining robust data platforms that support our organization's data-driven decision-making processes. As a Data Platform Engineer, you will work closely with data scientists, analysts, and other engineers to ensure the seamless flow of data across systems, enabling the organization to derive actionable insights. Your expertise in data architecture, cloud technologies, and big data tools will be essential in creating scalable and efficient data solutions. In this role, you will be responsible for developing and optimizing data pipelines, ensuring data quality, and implementing best practices for data governance and security. You will also collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. The ideal candidate will have a strong background in software engineering, database management, and cloud platforms, as well as a passion for solving complex data challenges. This is an exciting opportunity to work in a fast-paced environment where your contributions will directly impact the organization's ability to leverage data for strategic decision-making. If you are a problem-solver with a deep understanding of data systems and a desire to work on cutting-edge technologies, we encourage you to apply.

Responsibilities

Text copied to clipboard!
  • Design and implement scalable data platforms and infrastructure.
  • Develop, test, and maintain data pipelines for ETL processes.
  • Ensure data quality, integrity, and security across all systems.
  • Collaborate with data scientists and analysts to meet data needs.
  • Optimize database performance and storage solutions.
  • Implement data governance and compliance best practices.
  • Monitor and troubleshoot data platform issues.
  • Stay updated on emerging technologies and industry trends.

Requirements

Text copied to clipboard!
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience in data engineering or software development.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong knowledge of SQL and NoSQL databases.
  • Familiarity with big data tools like Hadoop, Spark, or Kafka.
  • Understanding of data governance and security principles.
  • Excellent problem-solving and communication skills.

Potential interview questions

Text copied to clipboard!
  • Can you describe your experience with building data pipelines?
  • How do you ensure data quality and integrity in your projects?
  • What cloud platforms and tools have you worked with?
  • Can you provide an example of a challenging data problem you solved?
  • How do you stay updated on the latest trends in data engineering?
  • What is your approach to optimizing database performance?
  • How do you handle data security and compliance requirements?
  • What is your experience with big data technologies like Spark or Kafka?