Scala Spark Developer

Role Overview:

Scala Spark Developer

The ideal candidate should have a strong background in data processing using Scala and Spark in distributed environments, with the ability to handle large-scale data pipelines for complex business needs.

Key Responsibilities:

• Design and develop scalable big data processing solutions using Scala and Apache Spark.
• Optimize data workflows and Spark jobs for performance and cost-efficiency.
• Work with large datasets across structured and unstructured sources.
• Collaborate with data engineers, analysts, and stakeholders to build end-to-end solutions.
• Maintain clean, modular, and well-documented code following best practices.

Preferred Qualifications:

• Experience with big data ecosystems (Hadoop, Hive, HDFS, etc.).
• Familiarity with cloud platforms (AWS, Azure, or GCP) for data engineering.
• Understanding of data lakes, streaming data, and real-time analytics is a plus.
• Strong debugging, performance tuning, and communication skills.

Educational Qualification:

• Bachelors or Masters degree in Computer Science, Information Technology, or related field.