Sr. Big Data Engineer

Posted 2 Months Ago
Phoenix, AZ, USA
In-Office
Senior level
Information Technology • Professional Services • Consulting
The Role
Develop and implement large-scale Big Data solutions using Java, Hadoop, NoSQL, and MPP technologies. Design and optimize distributed, data-intensive systems, participate in architecture discussions, collaborate with senior architects and offshore teams, and deliver high-quality projects. Engage with clients, conduct technical sessions, create documentation and case studies, and share knowledge across the organization.
Summary Generated by Built In
Company Description

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.

Job Description

Hi,   


Please review and let me know if you are interested

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


ONLY FULLTIME


Locations: Phoenix, AZ, Washington, Atlanta   


Must Have’s- Java (Expert developer/engineer), Hadoop (expert level), strong Communication skills (involves interacting with clients).


Mode of interview: Online test, Phone round 1,2. And final interview.


Position 1:

Big Data Sr. Software Eng (10+ years)

Project: Development/Coding/Technical (muliple roles)

Must Have’s- Java (Expert developer/engineer), Hadoop (expert level), strong Communication skills (involves interacting with clients).

Overall 8-10 yrs of expereince

Atleast 6 years of Java expertise/development + coding

Must have minimum 3 yrs of Hadoop, Hive, Big Data exp


Description:

Very strong server-side Java experience, especially in an Open Source, data-intensive, distributed environments

Experience in the implementation role of high end software products in telecom/ financials/ healthcare/ hospitality domain

Should have worked on open source products and contribution towards it would be an added advantage

Implemented and in-depth knowledge of various Java, J2EE and EAI patterns

Implemented complex projects dealing with the considerable data size (GB/ PB) and with high complexity

Well aware of various architectural concepts (Multi-tenancy, SOA, SCA, etc.) and NFR’s (performance, scalability, monitoring, etc.)

Good understanding of algorithms, data structure, and performance optimization techniques

Knowledge of database principles, SQL, and experience working with large databases beyond just data access

Exposure to complete SDLC and PDLC

Capable of working as an individual contributor and within team too

Self-starter & resourceful personality with ability to manage pressure situations

Should have experience/ knowledge on working with batch processing/ real-time systems using various Open Source technologies like Solr, Hadoop, NoSQL DB’s, Storm, Kafka, etc.


ROLE & RESPONSIBILITIES :              

Implementation of various solutions arising out of the large data processing (GB’s/ PB’s) over various NoSQL, Hadoop, and MPP-based products

Active participation in the various Architecture and design calls with Big Data customers

Working with Sr. Architects and providing implementation details to offshore

Conducting sessions/ writing whitepapers/ Case Studies pertaining to Big Data

Responsible for timely and quality deliveries

Fulfill organization responsibilities – Sharing knowledge and experience within the other groups in the organization, conducting various technical sessions and trainings



Additional Information

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

Skills Required

  • Expert-level Java development and engineering experience
  • Expert-level Hadoop experience
  • Strong communication skills and ability to interact with clients
  • 8–10 years of overall experience
  • At least 6 years of Java development and coding experience
  • At least 3 years of Hadoop, Hive, and Big Data experience
  • Strong server-side Java experience in open-source, data-intensive, distributed environments
  • Experience implementing complex projects involving large-scale data
  • Knowledge of database principles, SQL, and large databases
  • Experience with batch processing or real-time systems
  • Experience with NoSQL, Hadoop, or MPP-based products
  • Knowledge of Solr, Storm, Kafka, or similar open-source technologies
  • Open-source product contributions
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The Company
HQ: Houston, TX
310 Employees
Year Founded: 2006

What We Do

Ktek Resourcing (K-Tek Resourcing LLC) is a global staffing and recruitment firm headquartered in Houston, TX, with additional offices in St. Paul, MN and two global delivery centers in India. Established to simplify staffing and hiring processes, it combines data, AI, and human insight to deliver faster, smarter hiring solutions across IT, engineering, and professional services. Ktek serves startups and Fortune 500 companies with contract, permanent, temp-to-perm, project-based hiring, RPO, and Employer of Record services.

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