Data Analytics Solutions Architect
6 hours ago
About the Role:
We're looking for an experienced professional with a strong background in big data technologies and software engineering best practices. The successful candidate will be responsible for designing, developing, and implementing our highly scalable and fault-tolerant big data platform. This includes developing big data pipelines using modern technology stacks such as Spark, Hadoop, Kafka, Snowflake, and Presto. Additionally, they will develop analytics applications using Java, Spring, Tomcat, Jenkins, REST APIs, JDBC, Amazon Web Services, and Hibernate. The ideal candidate should have experience with agile/Scrum processes and be able to collaborate with cross-functional teams to build products that deliver end-to-end solutions.
About You:
To be successful in this role, you'll need to have at least 2-6 years of coding experience in Java and solid computer science fundamentals. You should also have expertise in developing implementation of professional software engineering best practices for the full software development life cycle. Big data technologies like Hadoop, Spark, Kafka, Snowflake etc would be an added advantage. Experience in developing and delivering large scale big data pipelines, real-time systems & data warehouses would be preferred. Furthermore, you should be able to demonstrate ability to achieve stretch goals in a very innovative and fast-paced environment and excellent verbal and written communication skills, especially in technical communications.
Salary: $120,000 - $180,000 per year.
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