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Title
Text copied to clipboard!Spark Developer
Description
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We are looking for a dedicated and skilled Spark Developer to join our dynamic team. In this role, you will be responsible for designing, implementing, and managing our Spark-based data processing systems. The ideal candidate will have a strong background in software development, with specific expertise in Apache Spark and related big data technologies. You will work closely with our data science team to process large datasets, implement complex algorithms, and optimize data processing workflows. Your contributions will directly impact the efficiency and scalability of our data processing capabilities, enabling us to derive actionable insights and support data-driven decision-making across the organization. This role requires a deep understanding of distributed computing principles, experience with cloud computing environments, and a commitment to continuous learning and improvement. If you are passionate about big data technologies and looking for an opportunity to work on challenging projects with a talented team, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and implement scalable and efficient data processing pipelines using Apache Spark.
- Collaborate with data scientists and engineers to translate complex algorithms and models into production-grade code.
- Optimize Spark jobs for performance and cost efficiency.
- Manage Spark clusters and environments, including monitoring and troubleshooting.
- Develop and maintain ETL processes for large-scale data ingestion and transformation.
- Ensure data quality and integrity throughout the data processing lifecycle.
- Contribute to the selection and integration of big data tools and frameworks.
- Document system designs, architectures, and data flows.
- Stay up-to-date with emerging trends and technologies in big data and distributed computing.
- Provide technical guidance and mentorship to junior team members.
Requirements
Text copied to clipboard!- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Spark Developer or in a similar role.
- Strong programming skills in Scala, Java, or Python.
- Deep understanding of Apache Spark and its core components.
- Experience with big data ecosystems and tools such as Hadoop, Hive, and Kafka.
- Familiarity with cloud computing platforms like AWS, Azure, or GCP.
- Knowledge of data modeling, data warehousing, and ETL processes.
- Ability to work with large datasets and optimize data processing workflows.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
Potential interview questions
Text copied to clipboard!- Can you describe a complex data processing problem you solved using Apache Spark?
- How do you optimize Spark jobs for performance?
- What experience do you have with cloud computing platforms in relation to data processing?
- How do you ensure data quality and integrity in large-scale data processing pipelines?
- Can you explain the differences between RDDs, DataFrames, and Datasets in Spark?
- Describe a situation where you had to mentor or guide junior team members on Spark-related projects.
- How do you stay updated with the latest trends and technologies in big data?
- What strategies do you use for troubleshooting Spark jobs?
- Can you discuss your experience with data modeling and ETL processes?
- What is your approach to documenting your data processing systems and workflows?