We are looking for a Senior Big Data Engineer to join our IMS team in Philadelphia, PA. This is an exciting new opportunity to support data excellence and research intelligence projects.
If you have a solid background in Big Data design and development, are metrics-focused and obsessed with CI / CD and DevOps we would love to speak with you!
About You experience, education, skills, and accomplishments
- Bachelor's degree in computer science or equivalent experience in software development.
- Minimum 3 years of relevant experience in developing Big Data systems.
- Minimum 3 years' experience in working with all aspects of distributed processing, including Hadoop, Hive, Apache Spark and Cassandra.
- Minimum 3 years' experience coding in key technologies like Java, Apache Spark, Hive, PostgreSQL, Scala, Git, Linux, AWS, and Greenplum.
- Minimum 3 years' experience in AWS Ecosystem with hands-on knowledge of ec2, S3 and services
- Minimum 3 years' experience in working with build tools like Maven, Gradle and CI / CD tools like Jenkins.
It would be great if you also had . . .
- Experience in Big Data design and development
- Experience on Spark streaming
- An understanding of existing complex processes and workflows
- Hands on experience with the full SDLC
- Experience working in an Agile Scrum methodology
What will you be doing in this role?
- Make modifications to existing software and integrating applications within the core pathway.
- Must develop software using disciplined software development processes, adhering to team / company standards and software best practice guidelines, and corporate policies.
- Deliver quality product to our QA and be responsible for creating and executing unit tests on the code that they write for their applications.
- Able to write high-performance, reliable, and maintainable code.
Hours of Work
- Full time, permanent
- Hybrid working schedule 2-3 days / week on-site
- Must live within a commutable distance to our Philadelphia, PA office
Clarivate is an Equal Opportunity Employer Vets / Minorities / Women / Disabled
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