Intelliswift
Pay rate range - $65/hr. to $68/hr. on W2
Onsite
Must Have SQL AWS experience Programming Language
Job Description: REQUIRED SKILLS: Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions. Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions. Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems. Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies. Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures. Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. SQL experience Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Years of Experience: 3-5 years
Degree or Certification: Bachelors degree in computer science, data engineering or data analytics
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Must Have SQL AWS experience Programming Language
Job Description: REQUIRED SKILLS: Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions. Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions. Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems. Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies. Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures. Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. SQL experience Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Years of Experience: 3-5 years
Degree or Certification: Bachelors degree in computer science, data engineering or data analytics
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