Job ID:
J37555
Job Title:
Hadoop Lead Developer
Location:
windsor, CT
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Position : Hadoop Lead Developer
Location : Windsor, CT
Duration :12+Months
Responsiblities :
Hadoop, HDFS, Apache NiFi, Spark, Hive and HBase (Metadata Management), Kerberos / Knox / Ranger (Security Management), Drools
Bachelor's Degree in Information Technology or Computer Science
Minimum of 8 years of hands-on experience with designing and architecting large centralized data repositories (Data Lakes / Data Warehouses / Data Marts)
Minimum of 4 years of hands-on-experience with Hadoop and Cloud stack including metadata management, schedule management and security management
Must have hands-on experience in Apache NiFi, Spark, HBASE, HIVE, Kerberos / Knox / Ranger (Security Management)
Knowledge with one of the data ingestion tools like Talend and Kafka
Extensive experience with data modeling, data ingestion, data security, and data governance
Must possess Excellent Technical and team leadership skills
Creative, Innovative, thought leader who can create a culture of learning, sharing among millennials.
Ability to clearly communicate designs, thoughts, and ideas and ability to adjust the communications based on the audience
Mentor Team members and take initiative in providing thought leadership, innovation and creativity
Collaborates with stakeholders to understand project requirements and communicate implementation methodology, project milestones and system functionality
Ensures the consistency and maintainability of Data Solutions by creating, maintaining, and enforcing standards/procedures for implementing the technical solutions
Acts as subject matter expert and makes recommendations to the Virtusa internal teams and client stakeholders
Interacting with customer's IT and business stakeholders
Prepare development estimates, respond to RFPs, RFIs, and RFQs
Provide technical leadership and guidance to development team in design and implementation software components
MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract