The emergence of big data is creating opportunities to develop data platforms that turn big data into big insights with tremendous value. This role is critical in enabling these capabilities and providing business partners with the tools to make their decision making process more efficient and with greater speed. This role will develop long-term technology and data strategies and shorter-term development and delivery plans to enable us to Insight. The candidate must be extremely results driven, customer focused, technologically savvy, and skilled at working in an agile development environment.Job Responsibilities
Develop the architecture for our Big Data & Analytics Platform to optimize the ingestion and management of varied sources of high volume data
Define analytic architecture that leverages the Big Data Platform to enable advanced analysis capabilities
Participate in the end to end delivery of business use-cases including data architecture to deliver results
Design and build efficient yet cost-effective Big Data applications to help business partners answer their business questions
Deliver as part of an agile team the ongoing platform architecture, build and maintenance
Architect the data security, compliance and privacy methodology
Provide leadership to data management and governance methodologies for the team
Evaluate and present proposed architectures to enable platform with highest level of performance, garner leadership support and enable implementation
Stay up to date on the relevant technologies, plug into user groups, understand trends and opportunities
Required Demonstrable Skills
Deep expertise is working with data – all kinds, clean, dirty, unstructured, semi-structured
Have hands-on experience with Cloudera Hadoop Administration (e.g. configuration management, monitoring, debugging, and performance tuning)
Strong experience with large cloud-compute infrastructure solutions such as Amazon Web Services, Google, Azure
Experience managing the full lifecycle of a Hadoop Solution
Experience creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
Experience with the major big data solutions like Hadoop, MapReduce, Hive, HBASE, MongoDB, Cassandra, Spark, Impala, Oozie, Mahout, Flume, ZooKeeper, Sqoop, etc.
Firm understanding of major programming/scripting languages like Java, Python, R, etc.
Extensive knowledge of UNIX/Linux
Strong knowledge of SQL
Experience in working with ETL tools such as Informatica, Talend and/or Pentaho.
Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
Experience in Hadoop Platform Security and Hadoop Data Governance topics
Experience in technical computing (optimization, statistics and machine learning)
Experience with analytics visualization software such as Tableau
Qualifications
Minimum of BS in Computer Science or similar field
Must have at least 8-10 years’ experience in information management and application development
Must have a minimum of 3-5 years working hands on with Big Data technologies
Numbers & Facts
Location
Framingham, Massachusetts
Skills
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Hadoopunmatched
Architectural Designunmatched
Big Dataunmatched
Business Caseunmatched
Cloud Computingunmatched
Clouderaunmatched
Computer Scienceunmatched
Computer Skillsunmatched
Configuration Managementunmatched
Customer Relationsunmatched
Data Analysisunmatched
Data Managementunmatched
Data Warehousingunmatched
DataArchitect Data Modeling Toolunmatched
Database Extract Transform and Load (ETL)unmatched
Debugging Skillsunmatched
Environmental Workunmatched
Housekeeping/Cleaningunmatched
Informaticaunmatched
Information/Data Security (InfoSec)unmatched
Javaunmatched
Leadershipunmatched
Linux Operating Systemunmatched
Machine Learningunmatched
Microsoft Windows Azureunmatched
NoSQLunmatched
Performance Tuning/Optimizationunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Relational Databases (RDBMS)unmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Security Architectureunmatched
Software Designunmatched
Software Developmentunmatched
Statisticsunmatched
Tableauunmatched
Technical Strategyunmatched
Technical/Engineering Designunmatched
Test Plan/Scheduleunmatched
Unix Operating Systemsunmatched
Use Casesunmatched
User Groupsunmatched
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