Big Data Solutions Architect
Bachelors
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
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