⁠⁠Product Support Engineer

3 weeks ago


Delhi, India SkySys Full time
Role:

Product Support Engineer (Big Data / Hadoop)Position Type:

Full-Time Contract (40hrs/week)Contract Duration:

Long TermWork Hours:

IST (India Time Zone)Work Schedule:

8 hours/day (Mon-Fri)Location:

100% remote (can work from anywhere in India)Job ResponsibilitiesProvides technical support to field engineers, technicians, and product support personnel who are diagnosing, troubleshooting, repairing, and debugging complex computer systems, complex software, or networked and/or wireless systems.Responds to situations where first-line product support has failed to isolate or fix problems in malfunctioning equipment or software.Reports design, reliability and maintenance problems or bugs to design engineering/software engineering. May be involved in customer installation and training.Provides support to customer/users where the product is highly sophisticated in nature and rapidly evolving.Work closely with a highly cross-functional team of development engineers to implement solutions to customer issues on a leading-edge big data platform.Perform user acceptance testing before deploying solutions to the field.Develop and implement procedures for configuration and testing of systems.Create documentation highlighting root cause corrective actions and ensure the developed solutions are actionable by our field service engineers.Minimum QualificationMS/BS degree in a computer science field or related disciplinePassionate about solving problems involving complex interrelated software systems5+ years' experience in software development and troubleshootingStrong programming background in one or more language (shell scripting, Java, SQL, Python, R)Experience with Microsoft Windows ServerExperience with LinuxExperience with Windows HypervisorFamiliarity with Hadoop platformExperience with messaging & complex event processing systems such as MQTT, Kafka.Good understanding of file formats including JSON and othersExcellent communication (speak/ written) skills and the ability to clearly articulate and share findings with the teamPreferred Qualification3+ years' experience in Hadoop, Spark, Kafka, Solr, Flume, Jupyter NotebooksExperience with Jira/ConfluenceExperience with databases like HBASE, Postgres.Experience (or at least familiarity) with ERDs and relational database schemas.Hands-On experience with IP networking and networking devices (Switches, Routers, Firewalls) and server maintenanceExcellent Communication Skill

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