Company Description nFolks Job Description Big Data Solutions Architect Qualifications Bachelors Additional Information Job Description Local candidate preferred or ability to relocate General Experience -10+ years of experience building solution designs and architectures for enterprise Big Data Solutions -3+ years of experience in technology consulting preferred -CPG/Retail domains is preferred -Working with all organizational levels to understand requirements and provide thought leadership related to Big Data Solutions -Ability to facilitate, guide, and influence decision makers and stakeholders towards the proper IT architecture -Ability to create presentation materials and simplify complex ideas -Ability to present technology architecture and solution overviews to executive audiences - Drive innovations through hands on proof-of-concept's and prototypes to help illustrate approaches to technology and business problems Functional Experience -Full Software Development Life Cycle (SDLC) of the Big Data Solutions -Experience with data integration and streaming technologies for EDW and Hadoop -Data modeling and database design -Data warehousing and Business Intelligence systems and tools -Open source Hadoop stack -Administration, configuration, monitoring, and performance tuning of Hadoop/Distributed platforms -Big Data and real time analytics platforms -ETL for Big Data - Migration of Legacy data warehouse to Data Lake - Develop guidelines, standards, and processes to ensure the highest data quality and integrity - Understanding of CI/CD in relation to Big Data platform. - Understanding of Containers technologies is a plus -Knowledge/experience of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure) Combination of technical skills -Hadoop (HDFS, MapReduce, Hive, Hbase, Pig, Spark) -Cloudera, Hortonworks, MapR, -NoSQL (Cassandra, MongoDB, Hbase) - Git, Nexus - Enterprise scheduler - Kafka, Flume, Strom -Appliances (Teradata, Netezza) -Languages (Java, Linux, Apache, Perl/Python/PHP) -Data Virtualization Education -Bachelor's degree in Computer Science or a related field preferred -Master's degree in a related field preferred Job Description Local candidate preferred or ability to relocate General Experience -10+ years of experience building solution designs and architectures for enterprise Big Data Solutions -3+ years of experience in technology consulting preferred -CPG/Retail domains is preferred -Working with all organizational levels to understand requirements and provide thought leadership related to Big Data Solutions -Ability to facilitate, guide, and influence decision makers and stakeholders towards the proper IT architecture -Ability to create presentation materials and simplify complex ideas -Ability to present technology architecture and solution overviews to executive audiences - Drive innovations through hands on proof-of-concept's and prototypes to help illustrate approaches to technology and business problems Functional Experience -Full Software Development Life Cycle (SDLC) of the Big Data Solutions -Experience with data integration and streaming technologies for EDW and Hadoop -Data modeling and database design -Data warehousing and Business Intelligence systems and tools -Open source Hadoop stack -Administration, configuration, monitoring, and performance tuning of Hadoop/Distributed platforms -Big Data and real time analytics platforms -ETL for Big Data - Migration of Legacy data warehouse to Data Lake - Develop guidelines, standards, and processes to ensure the highest data quality and integrity - Understanding of CI/CD in relation to Big Data platform. - Understanding of Containers technologies is a plus -Knowledge/experience of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure) Combination of technical skills -Hadoop (HDFS, MapReduce, Hive, Hbase, Pig, Spark) -Cloudera, Hortonworks, MapR, -NoSQL (Cassandra, MongoDB, Hbase) - Git, Nexus - Enterprise scheduler - Kafka, Flume, Strom -Appliances (Teradata, Netezza) -Languages (Java, Linux, Apache, Perl/Python/PHP) -Data Virtualization Education -Bachelor's degree in Computer Science or a related field preferred -Master's degree in a related field preferred