Hadoop Application Support specialist

Position: Hadoop Application Support specialist

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.
  
  

Position Summary:

• 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).
  
  

Essential Duties and Responsibilities:

• 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.