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Title

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Data Platform Engineer

Description

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We are looking for a Data Platform Engineer to join our dynamic technology team. As a Data Platform Engineer, you will be responsible for designing, building, and maintaining robust and scalable data platforms that support our business’s data-driven decision-making processes. You will work closely with data scientists, analysts, and software engineers to ensure seamless data flow, high data quality, and optimal performance across our data infrastructure. Your expertise will help us manage large volumes of structured and unstructured data, integrate diverse data sources, and enable advanced analytics and reporting capabilities. In this role, you will architect and implement data pipelines, data lakes, and data warehouses using modern technologies such as cloud platforms (AWS, Azure, GCP), distributed computing frameworks (Spark, Hadoop), and database systems (SQL, NoSQL). You will be responsible for monitoring, optimizing, and troubleshooting data systems to ensure reliability, security, and scalability. Additionally, you will collaborate with stakeholders to understand data requirements, recommend best practices, and drive continuous improvement in our data platform ecosystem. The ideal candidate has a strong background in computer science, data engineering, or a related field, with hands-on experience in building and managing large-scale data platforms. You should be proficient in programming languages such as Python, Java, or Scala, and have a deep understanding of data modeling, ETL processes, and data governance. Experience with DevOps practices, automation, and CI/CD pipelines is highly desirable. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for success in this role. Join us to play a key role in shaping our data infrastructure and empowering our organization with reliable, high-quality data solutions.

Responsibilities

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  • Design, build, and maintain scalable data platforms.
  • Develop and optimize data pipelines and ETL processes.
  • Integrate data from multiple sources into unified platforms.
  • Monitor, troubleshoot, and ensure data system reliability.
  • Implement data security and governance best practices.
  • Collaborate with data scientists, analysts, and engineers.
  • Automate data workflows and support CI/CD pipelines.
  • Document data architecture, processes, and standards.
  • Evaluate and adopt new technologies for data management.
  • Support advanced analytics and reporting initiatives.

Requirements

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  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer or similar role.
  • Proficiency in Python, Java, or Scala.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Strong knowledge of SQL and NoSQL databases.
  • Familiarity with distributed computing frameworks (Spark, Hadoop).
  • Understanding of data modeling and ETL processes.
  • Experience with DevOps and automation tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.

Potential interview questions

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  • Can you describe your experience with building data pipelines?
  • Which cloud platforms have you worked with for data solutions?
  • How do you ensure data quality and integrity in your projects?
  • What tools do you use for monitoring and troubleshooting data systems?
  • Describe a challenging data integration project you managed.
  • How do you stay updated with emerging data technologies?
  • What is your approach to data security and governance?
  • Can you give an example of automating a data workflow?
  • How do you collaborate with cross-functional teams?
  • What is your experience with distributed computing frameworks?