- Lead technical initiatives and guide the team to develop innovative software solutions that address complex challenges.

- Build scalable, efficient, and high-performance pipelines and workflows for processing large volumes of batch and real-time data.

- Maintain and enhance existing software systems to ensure performance and reliability.

- Support real-time streams, ETL pipelines, data warehouses, and reporting services.

- Design and develop data frameworks, applications, and microservices that seamlessly integrate with other services.

- Utilize Big Data tools such as Kafka, AWS S3 Data Lake, EMR, and Spark to ingest, store, transform, and query data.

- Adhere to coding best practices, including unit testing, design/code reviews, and comprehensive documentation.

- Conduct thorough code reviews to maintain quality, mentor junior team members, and promote continuous learning.

- Work effectively as part of an Agile team, contributing to process improvements and innovative solutions.

- Implement and promote security protocols and data governance standards across development projects.

Requirements :

- 15+ years of experience designing and developing enterprise-level software solutions.

- 10+ years of experience with large volume data processing and Big Data tools such as Apache Spark, Scala, Hadoop and Snowflake.

- 5+ years of experience developing Scala applications and microservices using Spring Boot.

- Strong software design skills with a deep understanding of design patterns and performance optimization.

- Expertise in writing high-quality, well-structured Scala code with an emphasis on functional programming and test-driven development.

- Ability to produce clear, concise, and organized documentation.

- Knowledge of Amazon cloud computing services (Aurora MySQL, DynamoDB, EMR, Lambda, Step Functions, and S3).

- Excellent communication skills and the ability to collaborate effectively with team members of varying technical backgrounds.