• $106,390.00 -159,250.00/year*
  • Jersey City , NJ
  • Information Technology
  • Full-Time
  • 10 Bayside Terrace

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Job Description
This position, as a member of the Business Intelligence & Database team, will assist in the development of our Big Data Analytics Platform. The Big Data Integration specialist is responsible for designing, developing, and deploying data integration solutions on both RDMS and Big Data (Hadoop) platforms. The position will create and implement business intelligence solutions as well as extract, transform, and load (ETL) solutions using integration tools, programming, performance tuning, data modeling. The ideal candidate will possess skills for ingesting data into Big Data platform and prepares data for consumption and analysis (Hadoop, Map Reduce, Hive, HBase)

Learn area s direct flow; and how it affects surrounding systems and operational areas.
Architect, design, construct, test, tune, deploy, and support Data Integration solutions for Hadoop (MapR) and MPP (Spark) solutions.
Work closely with Business Intelligence team, Data Engineer and Data Scientist to achieve company business objectives.
Collaborate with other technology teams and architects to define and develop solutions.
Research and experiment with emerging Data Integration technologies and tools related to Big Data.
Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed; ensuring a high degree of data quality.
Assist Users/Analysts with the development in MapR and Spark
Develop, write and implement processing requirements and post implementation review and performance tuning
Facilitate and/or create new procedures and processes that support advancing technologies or capabilities
Design & Implement ETL solutions utilizing Informatica Big Data Management (BDM)
Create logic, system, and program flows for complex systems, including interfaces and metadata
Write and execute unit test plans. Track and resolve any processing issues.
Implement and maintain operational and disaster-recovery procedures.
Participate in the review of code and/or systems for proper design standards, content and functionality.
Participate in all aspects of the Systems Development Life Cycle
Analyze files internal, external and 3rd party systems and map data from one system to another
Adhere to established source control versioning policies and procedures
Meet timeliness and accuracy goals.
Communicate status of work assignments to stakeholders and management.
Responsible for technical and production support documentation in accordance with department standards and industry best practices.
Maintain current knowledge on new developments in technology-related industries
Participate in corporate quality and data governance programs

6+ years of experience building and managing complex Big Data Integration solutions in Cloud
6+ years of experience with distributed, highly-scalable, multi-node environments.?MS SQL Certification or other certification in current programming languages a plus

Bachelor s Degree in Information Technology or related field preferred

Required Professional Competencies:
Advanced knowledge of business intelligence, programming, and data analysis software
Intermediate knowledge of Microsoft SQL databases.
Intermediate proficiency in T-SQL, NZ-SQL, PostgreSQL, data tuning, enterprise data modeling and schema change management.
Ingestion of data into Hadoop and proficiency with the usage of common Hadoop Tools; such as, NIFI, Hive, Pig, Oozie, HBase, Flume, Sqoop, Yarn MapReduce, Ambari, Spark, Java, Python,
Proficiency in Bid Data Integration tools like Informatica Big Data Management and/or Talend
Strong object-oriented design and analysis skills
Experience consuming, organizing and analyzing JSON and XML messages as data.
Associated topics: data administrator, data engineer, data integration, data integrity, data quality, data warehouse, database administrator, etl, erp, sybase

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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