Java Developer with Spark Experience

• Design, code, and maintain applications and data processing solutions using Java, Kotlin, Scala, and Apache Spark.
• Design and implement data loading and transformation for large datasets. Process data in various formats and compression codecs.
• Use Spark SQL, DataFrames, and Datasets for efficient data manipulation and querying within Spark applications.
• Optimize Spark applications, including tuning configurations, managing memory, and fine-tuning data serialization and task partitioning.

Do you have experience in Version control systems?, * 5+ years of professional software engineering experience, with a strong focus on JVM-based development and large-scale data processing solutions.

• Hands-on experience developing applications using Java and Kotlin, with a solid understanding of object-oriented and functional programming concepts.
• Practical working knowledge of Scala, including familiarity with commonly used Scala libraries, frameworks, and development practices.
• Strong experience designing, developing, and maintaining Apache Spark-based data pipelines and processing jobs.
• Proficiency with Spark SQL, DataFrames, distributed data processing, and performance optimization for high-volume data workloads.
• Solid understanding of big data engineering principles, distributed computing models, and scalable application design.
• Strong SQL skills and experience working with relational database systems.
• Experience building or supporting cloud-based data solutions within AWS environments.
• Familiarity with version control and collaborative development workflows using Git or similar tools.