Job ID:
J37556
Job Title:
Hadoop Developer (Java Bakground Exp)
Location:
dearborn, MI
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
Title: Hadoop Developer
Location: Dearborn, Michigan
Duration: Contract
Job Summary: The Hadoop Developer position will provide expertise in a wide range of technical areas, including but not limited to: Cloudera Hadoop ecosystem, Java, collaboration toolsets integration using SSO, configuration management, hardware and software configuration and tuning, software design and development, and application of new technologies and languages that are aligned with other FordDirect internal projects. Preferred past/current experience on a CRM integration assignment.
Essential Job Functions:
1.Design and development of data ingestion pipelines.
2.Perform data migration and conversion activities.
3.Develop and integrate software applications using suitable development methodologies and standards, applying standard architectural patterns, taking into account critical performance characteristics and security measures.
4.Collaborate with Business Analysts, Architects and Senior Developers to establish the physical application framework (e.g. libraries, modules, execution environments).
5.Perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.
Required:
1.Java/J2EE
2.Web Applications, Tomcat (or any equivalent App server) , RESTful Services, JSON
3.Spring, Spring Boot, Struts, Design Patterns
4.Hadoop (Cloudera (CDH)) , HDFS, Hive, Impala, Spark, Oozie, HBase
5.SCALA
6.SQL
7.Linux
Good to Have:
8. Google Analytics, Adobe Analytics
9. Python, Perl
10. Flume, Solr
11. Strong Database Design Skills
12. ETL Tools
13. NoSQL databases (Mongo, Couchbase, Cassandra)
14. JavaScript UI frameworks (Angular, NodeJS, Bootstrap)
15. Good understanding and working knowledge of Agile development
Other Responsibilities:
1.Document and maintain project artifacts.
2.Suggest best practices, and implementation strategies using Hadoop, Java, ETL tools.
3.Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
4.Other duties as assigned.
Minimum Qualifications and Job Requirements:
1.Must have a Bachelor s degree in Computer Science or related IT discipline.
2.Must have at least 5 years of IT development experience.
3.Must have strong, hands-on J2EE development
4.Must have in-depth knowledge of SCALA Spark programming
5.Must have 3+ years relevant professional experience working with Hadoop (HBase, Hive, MapReduce, Sqoop, Flume) Java, JavaScript, .Net, SQL, PERL, Python or equivalent scripting language Must have experience with ETL tools
6.Must have experience integrating web services
7.Knowledge of standard software development methodologies such as Agile and Waterfall
8.Strong communication skills.
9.Must be willing to flex work hours accordingly to support application launches and manage production outages if necessary
Specific Knowledge, Skills and Abilities:
Ability to multitask with numerous projects and responsibilities
Experience working with JIRA and WIKI
Must have experience working in a fast-paced dynamic environment.
Must have strong analytical and problem solving skills.
Must have good verbal and written communication skills
Must be able and willing to participate as individual contributor as needed.
Must have ability to work the time necessary to complete projects and/or meet deadlines.
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