Data Consultant

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

Created: 2024-10-19