Hadoop App Support Specialist-BACJP

Overview

Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

JAVA
SQL
Data Warehousing
Shell Scripting
Data Structures
Debug
UNIX
PERL
Ecosystem
Big Data
Production Environment
Financial Services
Business Intelligence
Remediation
Presentation Skills
Kafka
Distributed Systems
Hadoop
Performance Optimization
Hive
HDFS
MAP Reduce
Application Support

Job Details

Hadoop App Support Specialist-BACJP00216020

Glider: BOA-AppProg-IV-V-3

Location: Newark, DE - 3 days onsite required

Candidate must have Actice LinkedIn URL.

Position Summary

Business Justification

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).

Position Summary

1. Support multiple projects with competing deadlines

2. 24/7 Monitoring of production applications to make sure SLAs are met

3. Triage and Remediation of Job failures

4. Work with upstream/downstream applications for any delays or data issues

5. Ability to generate and submit the reports to senior management

6. 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.

7. Experience in working with a Big Data implementation in production environment

8. Experience in HDFS, Map Reduce, Hive, impala, Spark, Kafka &Linux/Unix technologies is mandatory

9. Experience in Unix shell scripting is mandatory

10. Able to analyze the existing shell scripts/python/perl code to debug any issues or enhance the code

11. Sound knowledge of relational databases (SQL) and experience with large SQL based systems.

12. Strong IT consulting experience in various data warehousing engagement, handling large data volumes, architecting big data environments.

13. Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment.

14. Benchmark and debug critical issues with algorithms and software as they arise.

Primary Skill

  • Hadoop
  • Secondary Skill
  • Core Java
  • Tertiary Skill
  • Kafka

Required Qualifications

1. Bachelor's degree in a technical or business-related field, or equivalent education and related training

2. Seven years of experience in data warehousing architectural approaches and minimum 4 years in big data (Cloudera)

3. Exposure to and strong working knowledge of distributed systems

4. Excellent understanding of client-service models and customer orientation in service delivery

5. Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area

6. Aptitude to understand and adapt to newer technologies

7. The ability to work with team mates in a collaborative manner to achieve a mission

8. Presentation skills to prepare and present to large and small groups on technical and functional topics

Desired Qualifications

1. Previous experience in the financial services industry

2. Previous experience in production support

3. Broad BofA technical experience and good understanding of existing testing/operational processes and an open mind on how to enhance those

4. Understanding of industry trends and relevant application technologies

5. Experience in designing and implementing analytical environments and business intelligence solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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