Job Summary
You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations/decisions through activities like building restful API for data products, AI-driven engineering solutions, automated data pipelines, performing jobs in big data cluster by using different execution engines and program such as Java, Python, Spark, Hive, Impala, etc.
Job Description
- Develop, maintain, and fine-tune highly reliable and scalable back-end services and applications primarily using Java and Spring Boot.
- Know well about the Continuous Integration/Continuous Deployment (CI/CD) process and know how to leverage Jenkins and other similar tools.
- Testing frameworks and familiarity in test-driven development (TDD) practices.
- Building, deploying, and maintaining production-level data-driven applications and data processing workflows or pipelines.
- Curiosity, creativity, and excitement for technology and innovation.
- Understanding of product requirements, engaging with team members and customers to define solutions, and estimating the scope of work required.
Job Qualifications
- Bachelor's Degree in Applied Mathematics, Engineering, or any related field.
- At least 4 years of experience, ideally within a Software Engineer, Data Engineer with Java and Python technical stack, Data Solution role.
- High proficiency in Java, Python, and SQL.
- Solid Java development experience with Spring-Boot, Jenkins, Database, Cloud Foundry, and testing framework (e.g. unit test, integration test, etc).
- Experience in the cloud-native big data framework (e.g. Hadoop, Yarn, Spark, Impala, Hive, NiFi, Airflow).
- Experience in deploying solutions in cloud environments (e.g. Cloudera, Databricks, AWS) and services (e.g. Tableau, PowerBI, Databricks SQL dashboards).
- Experience working with engineering best practices (e.g. Git, Jira, DevOps).
- Solid understanding of data modeling, data monitoring, data dashboarding, database design, and data warehousing concepts.
- Experience working in an Agile/Scrum environment.
Rupa Kankariya EA License No. 02C3423 Personnel Registration No. R1441955
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