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Title

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Big Data Engineer

Description

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We are looking for a Big Data Engineer to join our dynamic team and play a pivotal role in designing, building, and maintaining scalable big data solutions. As a Big Data Engineer, you will be responsible for managing the full lifecycle of data pipelines, ensuring data quality, and enabling advanced analytics and machine learning capabilities. You will collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions that drive business insights and decision-making. Your expertise in big data technologies, cloud platforms, and programming will be critical in handling large-scale data processing and storage challenges. The ideal candidate is passionate about data, thrives in a fast-paced environment, and is eager to solve complex problems using cutting-edge technologies. If you are a self-starter with a strong technical background and a desire to work on impactful projects, we encourage you to apply.

Responsibilities

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  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Implement and optimize big data storage solutions for performance and reliability.
  • Collaborate with data scientists and analysts to support advanced analytics and machine learning initiatives.
  • Ensure data quality, integrity, and security across all data systems.
  • Monitor and troubleshoot data pipeline performance and resolve issues promptly.
  • Stay updated with the latest big data technologies and best practices.
  • Document technical designs, processes, and workflows for team collaboration.
  • Participate in code reviews and contribute to the improvement of engineering standards.

Requirements

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  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Big Data Engineer or similar role.
  • Strong knowledge of big data technologies such as Hadoop, Spark, and Kafka.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with data modeling, ETL processes, and database systems.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.

Potential interview questions

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  • Can you describe your experience with big data technologies like Hadoop or Spark?
  • How do you ensure data quality and integrity in your projects?
  • What is your approach to optimizing the performance of data pipelines?
  • Can you share an example of a challenging big data project you worked on?
  • How do you stay updated with the latest trends in big data engineering?
  • What is your experience with cloud platforms for big data solutions?
  • How do you handle security and compliance in big data systems?
  • What tools or techniques do you use for monitoring and troubleshooting data pipelines?