Sr. Big Data Engineer

K-Tek’s core business is into temporary staffing, permanent placement and volume hiring. Since inception of our staffing solutions has grown multi-fold with global offices. We know what works best for our clients and what doesn’t. This is the key differentiator and this is how we edge over the competition.

Good Salary + Benefits + Relocation + travel expense – All provided.

ONLY FULLTIME

Locations:
Phoenix, AZ;
Washington, Atlanta

Requirements:

• Java (Expert developer/engineer)
• Hadoop (Expert level)
• Strong communication skills (involving interaction with clients)

Mode of interview:
Online test, Phone rounds 1 & 2, and final interview.

Position 1:

Big Data Sr. Software Eng (10+ years)

Project:
Development/Coding/Technical (multiple roles)

Overall 8-10 years of experience

At least 6 years of Java expertise/development + coding

Minimum 3 years of Hadoop, Hive, Big Data experience

Description:

• Very strong server-side Java experience, especially in Open Source, data-intensive, distributed environments
• Experience in implementing high‑end software products in telecom/financials/healthcare/hospitality domains
• Worked on open‑source products and contributions are an added advantage
• Implemented and in‑depth knowledge of various Java, J2EE and EAI patterns
• Implemented complex projects dealing with considerable data size (GB/PB) with high complexity
• Well aware of architectural concepts (Multi‑tenancy, SOA, SCA, etc.) and NFR’s (performance, scalability, monitoring, etc.)
• Good understanding of algorithms, data structures, and performance optimization techniques
• Knowledge of database principles, SQL, and experience working with large databases beyond data access
• Exposure to complete SDLC and PDLC
• Capable of working as an individual contributor and within a team
• Self‑starter & resourceful personality with ability to manage pressure situations
• Experience/knowledge of batch processing/real‑time systems using various Open Source technologies like Solr, Hadoop, No
  
  SQL DB’s, Storm, Kafka, etc.
• Implementation of various solutions for large data processing (GBs/PBs) over No
  
  SQL, Hadoop, and MPP‑based products
• Active participation in architecture and design calls with Big Data customers
• Working with Sr. Architects and providing implementation details to offshore teams
• Conducting sessions, writing whitepapers, case studies pertaining to Big Data
• Responsible for timely and quality deliveries
• Sharing knowledge and experience within other groups in the organization, conducting technical sessions and trainings

All your information will be kept confidential according to EEO guidelines.