Big Data Analysts/programmers

1 week ago

Carlton, Australia Opasa Pty Ltd Full time

Opasa is Australian based Information Technology and Services Company. We deliver IT solutions and services that contribute to innovation, customer experience and drive measurable growth of our enterprise clients. We are seeking an experienced the support engineer of the group to perform administration and support activities for our various Hadoop platform.

Experience: 5 + years

Location: Melbourne/Sydney, Australia

Salary package: AUD 100,000 superannuation

Roles and Responsibilities:
Acting as the support engineer of the group to perform administration and support activities for our various Hadoop platform. Main accountabilities are
- Administer and support Big Data clusters including Hortonworks/Cloudera and Opensource Bigdata eco-system.
- Ability to maintain and monitor production clusters.
- Ability to implement the design based on the requirements and architecture decision.
- Ability to identify problem and drive for problem solving.
- Ability to provide technical expertise for new and ongoing initiatives to work with project stakeholder to come up most feasible technical solution.
- Identify, resolve, and/or escalate all issues that threaten the successful delivery of assigned initiatives.
- Good time management and ability to successfully juggle multiple projects at the same time.
- Available to work outside of business hours from time to time to support planned upgrades or restore service in the event of an unplanned outage.

SKILLS & KNOWLEDGE
- Proven experience with Hadoop Cluster Administration, Configuration, Tuning etc.
- Proven experience working with VMWare.
- Demonstrable Experience - (NiFi, Kafka, Spark, Hbase, Hive, HDFS, Zookeeper, Yarn & Druid etc. - Hadoop components)
- Building and administration of Opensource Bigdata platforms
- Demonstrable operational management experience relevant to support a Bigdata cluster
- UNIX/Linux skills, bash scripting etc.
- R Language, Python, VB Scripting, Hive, Impala, SparkR(2.x), PySpark,Hadoop,Data Bricks
- Good understanding on IPA, AD and networks.
- Strong hands-on exposure to RHEL implementation, Administration and troubleshooting.

**Salary**: From $100,000.00 per year

**Benefits**:

- Work from home

Schedule:

- Monday to Friday

Ability to commute/relocate:

- Carlton VIC: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- Big data: 5 years (required)

Work Authorisation:

- Australia (required)

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