Senior Scala Developer

Minimum Qualifications :

- Minimum 5 years of hands-on experience in Scala programming for data-intensive applications.

- Strong expertise in Apache Spark (RDD/DataFrame/Streaming) for large-scale data processing.

- Proficient in writing complex SQL queries and optimizing performance across large datasets.

- Experience with data pipelines, ETL workflows, and batch/real-time processing.

- Familiarity with distributed computing, parallel processing, and data partitioning strategies.

- Ability to write clean, reusable, and testable code following functional programming principles.

- Exposure to cloud platforms (AWS/GCP/Azure) and version control tools like Git.

- Excellent problem-solving, debugging, and communication skills for collaborative development.

Key Responsibilities :

- Apply strong expertise in Apache Spark (RDD, DataFrame, and Streaming APIs) for large-scale data processing, transformation, and analysis.

- Write complex SQL queries and optimize their performance across vast datasets.

- Develop and manage robust data pipelines and ETL workflows, encompassing both batch and real-time processing paradigms.

- Implement strategies for distributed computing, parallel processing, and data partitioning to maximize efficiency and scalability.

- Write clean, reusable, and testable code, strictly adhering to functional programming principles.

- Ensure code quality through rigorous testing, code reviews, and adherence to architectural guidelines.

- Work effectively within cloud platforms (AWS/GCP/Azure) environments.

- Utilize version control tools like Git for collaborative development and code management.

- Employ excellent problem-solving and debugging skills to identify and resolve complex technical issues.

- Collaborate effectively with cross-functional teams, data engineers, and data scientists to deliver integrated data solutions.