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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level role with common big-data skills yields moderate candidate competition.
Big-data engineering skills (Spark, Kafka, Hadoop) are easily transferable across industries.
Requires explicit 4+ years plus multiple mandatory big-data technologies, enforcing strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design and build high-performance, scalable big data ingestion, processing, and clean-up solutions.
Develop and test robust data pipelines, microservices, Spark Streaming applications, and RESTful web services.
Collaborate with cross-functional teams including product managers and designers to implement new products and features.
Minimum Requirements
Minimum 4+ years of experience building business logic layers and backend systems for high-volume data pipelines and applications.
Proficiency in Java, Scala, or Python.
Experience with SQL/noSQL platforms and Apache technologies such as Kafka, Spark, Hadoop, Cassandra, Druid, and HBase.
Experience working on High Availability distributed systems.
Ideal Candidate Profile
Experienced in evaluating and benchmarking new big data technologies and products.
Comfortable operating in Agile/Scrum/Kanban development environments using DevOps tools like GitHub and Jira.
Familiarity with Linux/Unix platforms and basic security concepts (Kerberos, LDAP, TLS); exposure to public cloud environments (AWS, GCP) is advantageous.