Java Big Data Developer Weekend Drive 22nd april F2F

Implify Inc

Phoenix (AZ)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A global IT services firm is seeking a Technology Lead for Java Big Data development. Located in Phoenix, AZ, this role requires candidates to have a Bachelor's degree, with at least 4 years of experience in Information Technologies, and expertise in Java, Big Data technologies, and SDLC methodologies. Ideal candidates will possess strong collaboration skills, the ability to communicate effectively with stakeholders, and an understanding of credit card and payments domains. This is a full-time in-person position.

Qualifications

  • At least 4 years of experience with Information Technologies.
  • Experience with various software development technologies.
  • Proven experience in SDLC methodologies.

Responsibilities

  • Lead Java Big Data development projects.
  • Collaborate with offshore teams and stakeholders.
  • Participate in requirements analysis and code reviews.

Skills

Java 1.5+
Spring 3.0 or above
Web Services - SOAP or REST
Eclipse
SQL
Python
Big Data technology stack HDFS
NoSQL HBase
Agile methodologies
Jira
Maven
SOAP UI

Education

Bachelor’s degree or foreign equivalent

Job description

  • Full-time
Company Description

Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.

IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.

Job Description

Job Title : Technology Lead - Java Big data

Location : Phoenix, AZ

Full Time (Permanent) Opportunity

Need USC and GC local to Phoenix, AZ for In person interview

Qualifications Basic :

  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience with Information Technologies.

Preferred Skills :

  • At least 4 years of experience in software development working with various technologies like Java 1.5+, Spring 3.0 or above, Web Services - SOAP or REST, JSP, Servlet, Eclipse, HTML, IBM WebSphere/JBoss Application Server, SQL.
  • Candidate should have exposure to Jira, Maven, and SOAP UI will be preferred.
  • At least 2 years of experience in Big Data technology stack HDFS (MapR distribution), Map Reduce using Java, PIG, Hive.
  • Knowledge of data modeling in NOSQL HBase is required.
  • At least 2 years of experience on Python.
  • Candidate should have had exposure to Credit Risk domain or Fraud analytics domain.
  • At least 2 years of experience working in Global Delivery model- i.e. onsite- offshore model.
  • At least 4 years of experience in SDLC methodologies such as Waterfall or Agile (preferred).
  • At least 4 years of experience in Project life cycle activities on development, maintenance projects.
  • Candidates should possess knowledge to build and configuration management related process.
  • Technical aptitude and experience with the software tools and techniques used in software development.
  • Must be able to collaborate with offshore team.
  • Candidates should have high analytical ability and impactful communication with stakeholders.
  • Ability to participate into requirements analysis, estimation, development and code reviews activities.
  • Ability to effectively prioritize and execute any tasks with quality and track it to closure.
  • Experience in credit cards and Payments domain would be a plus.
  • Experience and desire to work in a Global delivery environment.
Additional Information

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

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