Hadoop Application Support specialist
Hadoop Application Support specialist
Syntricate Technologies
United States
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Position: Hadoop Application Support specialist
Location: Pennington, TX / Jersey City, NJ (Onsite)
Duration: W2 Only Contract
Job Description:
Required Skills and Competencies:
Location: Pennington, TX / Jersey City, NJ (Onsite)
Duration: W2 Only Contract
Job Description:
Required Skills and Competencies:
- Bachelor's degree in a technical or business-related field, or equivalent education and related training
- Seven years of experience in data warehousing architectural approaches and minimum 4 years in big data (Cloudera)
- Exposure to and strong working knowledge of distributed systems
- Excellent understanding of client-service models and customer orientation in service delivery
- Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area
- Aptitude to understand and adapt to newer technologies
- The ability to work with team mates collaboratively to achieve a mission
- Presentation skills to prepare and present to large and small groups on technical and functional topics.
- Hadoop Application Support specialist able to work in one or more than one applications in the hadoop data lake
- Able to support the existing Hadoop applications.
- Able to support the application in rotating shifts (24x7).
- Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
- Support multiple projects with competing deadlines
- 24/7 Monitoring of production applications to make sure SLAs are met
- Triage and Remediation of Job failures
- Work with upstream/downstream applications for any delays or data issues
- Ability to generate and submit the reports to senior management
- Sound understanding and experience with Hadoop ecosystem (Cloudera). Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
- Experience in working with a Big Data implementation in production environment
- Experience in HDFS, Map Reduce, Hive, Impala, Spark, Kafka &Linux/Unix technologies is mandatory
- Experience in Unix shell scripting is mandatory
- Able to analyze the existing shell scripts/python/Perl code to debug any issues or enhance the code
- Sound knowledge of relational databases (SQL) and experience with large SQL-based systems.
- Strong IT consulting experience in various data warehousing engagement, handling large data volumes, architecting big data environments.
- Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment.
- Benchmark and debug critical issues with algorithms and software as they arise.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
IT Services and IT Consulting, Software Development, and Financial Services
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