Hope you are doing fine. We have an urgent requirement for Big Data Hadoop Developer at Oak Brooks, IL with our client for a contract role. Please go through the brief description mentioned below and let me know if you have someone available for the role.
Please revert back with the below requested information along with a latest copy of your profile.
Full Legal Name (first, middle, last):
Contact Details:
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Work authorization and expiration date:
Current Physical Location (city/state):
Relocation:
Availability Date to Start:
Expected Rate:
Position: Big Data Hadoop Developer
Location: Oak Brooks, IL
Duration: 6 Months
Rate: $/hr on C2C
Requirement:
1. Experience in Java
2. Knowledge in Hadoop (HDFS and MapReduce) concepts
3. Good knowledge of database structures, theories, principles, and practices
4. Ability to write MapReduce jobs
5. Proven understanding with Hadoop, HBase, Hive, Pig, and HBase
6. Ability to write Pig Latin scripts
7. Hands on experience in HiveQL
8. Familiarity with data loading tools like Flume, Sqoop
9. Knowledge of workflow/schedulers like Oozie
10. Good aptitude in multi-threading and concurrency concept
11. Loading data from disparate data source sets
12. Certifications like Cloudera Developer/Administrator Certifications added advantage
13. Hands-od experience with at least two NO SQL databases
14. Ability to analyze, identify issues with existing cluster, suggest architectural design changes
15. Ability/Knowledge to implement Data Governance in Hadoop clusters
16. Experience with Hortonworks Data Platform, having Java background
17. Strong understanding of underlying Hadoop concepts and distributed computing
18. Strong skills writing Map Reduce
19. Expertise with Hive
20. Experience working with Big Data on Amazon Web Services
21. Experience with Redshift, Elastic Map Reduce, S3 on AWS
22. Customer facing skills, responsible for deliverables, schedule and effort management
23. Ability to Lead/Manage a team
24. Creating Requirement Analysis and choosing the platform
25. Designing he technical architecture and application design
26. Deploying the proposed Hadoop solution
27. Played pivotal roles as an engineer and architect across domains
28. Experience with machine learning algorithms and data mining techniques.
29. Analytical and problem solving skills, applied to Big Data domain
30. Be very comfortable with Agile methodologies in order to be able to arrive at difficult engineering decisions quickly
31. To be able to clearly articulate pros and cons of various technologies and platforms
32. To be able to document use cases, solutions and recommendations
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