Job type full-time
Full job description
Technical skills:
Minimum experience required: 4+ years
Big data engineer responsibilities
As a big data engineer, you’ll be responsible for designing and building high performance, scalable solutions for large volume data ingestion, clean-up, and processing that meet the needs of our enterprise customersYou’ll design, develop, and test robust, scalable data pipelines, microservices, spark streaming applications, and restful web servicesYou’ll work with a variety of teams and individuals to come up with innovative solutionsYou’ll be a self-organized member of a team of talented engineer and should be able to collaborate with product managers and designers to help implement and execute new products and features.
Big data engineer requirements
Experience working on high availability distributed systems
4+ years of experience: building business logic layers and back-end systems for high-volume data pipelines and backend applications.
Experienced in evaluating and benchmarking new technologies/products.
Experienced in java/scala/python
Current experience using sql/no sql platforms, and apache products (kafka, spark, hadoop, cassandra, druid, hbase)
Experience developing and deploying on linux/unix platforms
Experience with devops tools (github, jira) and methodologies (agile, scrum, kanban, test driven development)
Basic understanding of security (kerberos, ldap, tls)
Exposure to any public cloud (aws, gcp) will be a plus.
Hiring insights
Job activity
Posted 30+ days ago
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