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Data Architect / Big Data Architect

Job Description

Qualifications:

•           Expertise in AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.

•           Push the envelope; Imagine bold possibilities and work with our scientists and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing.

•           10+ years’ experience of IT platform implementation in a highly technical and analytical role

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

•           BI reporting and Dashboard development exposure

•           Expertise in collaborating with Computer Scientists expertise – algorithms, data structures, software engineering

•           Able to assume and complete assignments independently

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

Experience implementing enterprise data lakes

•           Strong verbal and written communications skills and ability to lead effectively across organizations

•           Hands on experience leading large-scale global data warehousing and analytics projects

•           Demonstrated industry leadership in the fields of database, data warehousing or data sciences

•           In-depth technical experience with data technologies such as Hadoop (HDFS, Hive, Map/Reduce, EMR), Spark, Snowflake, Presto, Kafka / Samza, BigQuery, etc.

Job Requirements

Qualifications:

•           Expertise in AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.

•           Push the envelope; Imagine bold possibilities and work with our scientists and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing.

•           10+ years’ experience of IT platform implementation in a highly technical and analytical role

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

•           BI reporting and Dashboard development exposure

•           Expertise in collaborating with Computer Scientists expertise – algorithms, data structures, software engineering

•           Able to assume and complete assignments independently

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

Experience implementing enterprise data lakes

•           Strong verbal and written communications skills and ability to lead effectively across organizations

•           Hands on experience leading large-scale global data warehousing and analytics projects

•           Demonstrated industry leadership in the fields of database, data warehousing or data sciences

•           In-depth technical experience with data technologies such as Hadoop (HDFS, Hive, Map/Reduce, EMR), Spark, Snowflake, Presto, Kafka / Samza, BigQuery, etc.

Job Snapshot

Location US-TX-Irving
Employment Type Contractor
Pay Type Year
Pay Rate N/A
Store Type IT & Technical
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Company Overview

Infovision Consultants Inc

InfoVision was founded in 1995 by technology professionals with a vision to provide quality and cost-effective IT solutions worldwide. InfoVision is a global IT Services and Solutions company with primary focus on Strategic Resources, Enterprise Applications and Technology Solutions. Learn More

Contact Information

US-TX-Irving
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Snapshot
Infovision Consultants Inc
Company:
US-TX-Irving
Location:
Contractor
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description

Qualifications:

•           Expertise in AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.

•           Push the envelope; Imagine bold possibilities and work with our scientists and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing.

•           10+ years’ experience of IT platform implementation in a highly technical and analytical role

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

•           BI reporting and Dashboard development exposure

•           Expertise in collaborating with Computer Scientists expertise – algorithms, data structures, software engineering

•           Able to assume and complete assignments independently

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

Experience implementing enterprise data lakes

•           Strong verbal and written communications skills and ability to lead effectively across organizations

•           Hands on experience leading large-scale global data warehousing and analytics projects

•           Demonstrated industry leadership in the fields of database, data warehousing or data sciences

•           In-depth technical experience with data technologies such as Hadoop (HDFS, Hive, Map/Reduce, EMR), Spark, Snowflake, Presto, Kafka / Samza, BigQuery, etc.

Job Requirements

Qualifications:

•           Expertise in AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.

•           Push the envelope; Imagine bold possibilities and work with our scientists and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing.

•           10+ years’ experience of IT platform implementation in a highly technical and analytical role

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

•           BI reporting and Dashboard development exposure

•           Expertise in collaborating with Computer Scientists expertise – algorithms, data structures, software engineering

•           Able to assume and complete assignments independently

•           Experience working with many different database and analytical technologies including MPP databases, noSQL storage, Data Warehouse design and implementation

Experience implementing enterprise data lakes

•           Strong verbal and written communications skills and ability to lead effectively across organizations

•           Hands on experience leading large-scale global data warehousing and analytics projects

•           Demonstrated industry leadership in the fields of database, data warehousing or data sciences

•           In-depth technical experience with data technologies such as Hadoop (HDFS, Hive, Map/Reduce, EMR), Spark, Snowflake, Presto, Kafka / Samza, BigQuery, etc.

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Data Architect / Big Data Architect Apply now