Data Consultant, JobRialto, Columbus, OH
JobRialto -
Columbus, OH,
US
Data Consultant
Date Posted: 2024-05-21
Job description
Job Description:
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Working proficiency in developmental toolsets
Knowledge of industry-wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals
Proficiency in one or more modern programming languages like Java, Python etch
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Experience and advanced knowledge in building Analytics solutions using traditional ETL tools or Big Data technologies
Big-data development
Autosys or Control-M scheduler
MQ, Kafka, Kinesis or Streaming real time data development
Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc.
Experience in building data pipelines using Spark/Glue
Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift
Experience in designing and optimizing Redshift Workloads
Good understanding of Redshift cluster management and cost optimization
Good understanding of defining data access roles and permission for Redshift
Capable of learning and adapting to the new technologies along with good Analytical skills
Experience in working of Visualization tools like AWS QuickSight, Tableau
Education: Bachelors Degree
Additional client information:
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Working proficiency in developmental toolsets
Knowledge of industry-wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals
Proficiency in one or more modern programming languages like Java, Python etch
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Experience and advanced knowledge in building Analytics solutions using traditional ETL tools or Big Data technologies
Big-data development
Autosys or Control-M scheduler
MQ, Kafka, Kinesis or Streaming real time data development
Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc.
Experience in building data pipelines using Spark/Glue
Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift
Experience in designing and optimizing Redshift Workloads
Good understanding of Redshift cluster management and cost optimization
Good understanding of defining data access roles and permission for Redshift
Capable of learning and adapting to the new technologies along with good Analytical skills
Experience in working of Visualization tools like AWS QuickSight, Tableau
Education: Bachelors Degree
Additional client information: