Data Engineer

• Collaborate with users and project team on requirements and expectations
• Analyze business requirements, create proper data solutions that meets functional and non-functional requirements
• Design and implement highly scalable and robust data pipelines in Scala/Spark/Java for processing of extreme large amount of data
• Create and maintain reusable frameworks for data ingestion, validation, normalization, and transformation
• Create scripts for test automation, CI/CD, data migrations, data validations
• Provide technical support for incident recovery

Requirements

• Minimum 3:6 years of working experience as developer or data engineer
• Strong programming skills and has software development experience in Scala, Java or Python
• Deep understanding of distributed systems (Hadoop, Spark, etc.) and its optimization
• Experience in public cloud technologies, preferably Azure
• Good knowledge of Oracle database, MS-SQL Server, Linux, networking
• Proficient in SQL, shell scripting, git, unit testing, CI/CD tools
• Understanding of design principles, coding standards and best practices
• Strong learning ability and problem-solving skills
• Excellent communication, presentation, and interpersonal skills

Preferable:

• Understanding of REST API, NoSQL, micro-services, ETL
• Hand-on experience with Cloud services is preferred
• Understanding of streaming data processing and change data capture is preferred
• Experience with BI tools is preferred