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Title

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Spark Developer

Description

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We are looking for a skilled Spark Developer to join our dynamic team. As a Spark Developer, you will be responsible for designing, developing, and optimizing big data solutions using Apache Spark. Your role will involve working with large datasets, implementing data pipelines, and collaborating with cross-functional teams to deliver high-performance data processing solutions. The ideal candidate will have a strong background in big data technologies, a deep understanding of distributed computing, and a passion for solving complex data challenges. In this role, you will play a critical part in enabling our organization to make data-driven decisions by ensuring the efficient processing and analysis of massive datasets. You will work closely with data engineers, data scientists, and business stakeholders to understand requirements and translate them into scalable Spark-based solutions. Your expertise in Spark, along with your ability to optimize performance and troubleshoot issues, will be key to the success of our data initiatives. If you are a proactive problem-solver with a strong technical foundation and a desire to work on cutting-edge big data projects, we encourage you to apply.

Responsibilities

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  • Design and develop scalable data processing pipelines using Apache Spark.
  • Optimize Spark jobs for performance and efficiency.
  • Collaborate with data engineers and data scientists to understand requirements.
  • Implement data transformations and aggregations for analytics.
  • Monitor and troubleshoot Spark applications in production environments.
  • Ensure data quality and integrity throughout the processing pipeline.
  • Stay updated with the latest advancements in big data technologies.
  • Document technical designs and processes for team knowledge sharing.

Requirements

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  • Proven experience with Apache Spark and big data technologies.
  • Strong programming skills in Scala, Java, or Python.
  • Familiarity with distributed computing and parallel processing.
  • Experience with Hadoop, Hive, or similar big data tools.
  • Knowledge of data modeling and ETL processes.
  • Ability to optimize and debug Spark applications.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Potential interview questions

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  • Can you describe your experience with Apache Spark?
  • How do you optimize Spark jobs for performance?
  • What challenges have you faced in big data projects, and how did you overcome them?
  • Can you explain the difference between RDDs, DataFrames, and Datasets in Spark?
  • How do you ensure data quality in a big data pipeline?
  • What is your experience with distributed computing frameworks?
  • Have you worked with any cloud platforms for big data processing?
  • How do you approach troubleshooting issues in Spark applications?