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Title
Text copied to clipboard!Spark Developer
Description
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We are looking for a skilled Spark Developer to join our data engineering team. As a Spark Developer, you will be responsible for designing, developing, and optimizing large-scale data processing applications using Apache Spark. You will work closely with data scientists, analysts, and other engineers to build scalable and efficient data pipelines that support business intelligence, machine learning, and real-time analytics.
In this role, you will be expected to write clean, maintainable, and efficient Spark code in languages such as Scala, Java, or Python. You will also be responsible for integrating Spark applications with various data sources including HDFS, S3, Kafka, and relational databases. A strong understanding of distributed computing principles and big data technologies is essential.
The ideal candidate will have experience with cloud platforms such as AWS, Azure, or GCP, and be familiar with tools like Hadoop, Hive, and Airflow. You should be comfortable working in an Agile environment and collaborating with cross-functional teams to deliver high-quality data solutions.
This is an exciting opportunity to work on cutting-edge data projects and contribute to the development of a robust data infrastructure that drives business decisions. If you are passionate about big data and enjoy solving complex problems, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and develop scalable data processing applications using Apache Spark
- Optimize Spark jobs for performance and efficiency
- Integrate Spark applications with data sources such as HDFS, S3, and Kafka
- Collaborate with data scientists and analysts to understand data requirements
- Implement data quality and validation checks
- Monitor and troubleshoot production Spark jobs
- Write unit and integration tests for Spark applications
- Document technical designs and processes
- Participate in code reviews and Agile ceremonies
- Stay updated with the latest trends in big data technologies
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Engineering, or related field
- 3+ years of experience with Apache Spark
- Proficiency in Scala, Java, or Python
- Experience with big data tools like Hadoop, Hive, and Kafka
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Strong understanding of distributed computing principles
- Experience with data pipeline orchestration tools like Airflow
- Knowledge of SQL and data modeling
- Excellent problem-solving and communication skills
- Ability to work in a collaborative Agile environment
Potential interview questions
Text copied to clipboard!- How many years of experience do you have with Apache Spark?
- Which programming languages are you most proficient in for Spark development?
- Have you worked with cloud platforms like AWS, Azure, or GCP?
- Can you describe a complex Spark job you have optimized?
- What tools have you used for data pipeline orchestration?
- How do you ensure data quality in your Spark applications?
- Have you integrated Spark with streaming platforms like Kafka?
- What challenges have you faced in distributed data processing?
- Are you comfortable working in an Agile development environment?
- Do you have experience with real-time data processing?
