CorGTA Inc.
Senior Data Engineer - Contract - Seattle
CorGTA Inc., Seattle, Washington, us, 98127
Role:
Senior Data EngineerExperience With Amazon (FAANG) PreferredSalary Range:
$110,000 - $160,000Location:
Seattle, WA - Hybrid, Up to 3x per weekJob Description
Our client is seeking an experienced data engineer for a role based in Seattle. The ideal candidate is a creative, self-motivated individual with extensive experience tackling complex problems. They should possess strong leadership qualities and expertise in software development principles, data engineering, cloud technologies, business intelligence, and interpersonal skills.Responsibilities
Collaborate closely with stakeholders to understand requirements and implement appropriate solutions.Analyze source systems, define data sources and transformation requirements, design data models, and document specifications.Implement data models and data mining solutions.Design and deploy ETL and data cleansing solutions.Develop and maintain data infrastructure using best practices in software engineering and data management.Ensure high standards of expertise and deliver fair outcomes for customers.Requirements
Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics, or a related field from a recognized university.3+ years of experience in business intelligence, including data warehousing and BI tools.3+ years of experience in analytics or business analysis.Expertise in SQL (DQL and DDL).Proficiency in large-scale Data Warehousing and Online Analytical Processing.Proficiency in AWS technologies (Redshift, RDS, S3, EMR).Familiarity with Linux scripting (bash, python, javascript).Strong skills in BI reporting tools (Tableau, OBIEE, Cognos, MicroStrategy, SSAS Cubes).Hands-on experience with distributed computing (MapReduce, MPP architecture, NoSQL databases).Expertise in data warehouse and relational database design.Experience with data mining algorithms and data cleansing.Ability to collaborate effectively with clients and stakeholders.Excellent English communication skills (written and verbal).Interview Process
Candidates will undergo a multi-stage interview process including evaluations of communication, technical skills, and live practical exercises. Cultural fit with the team and final approval by the client are also part of the process.--Please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.
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Senior Data EngineerExperience With Amazon (FAANG) PreferredSalary Range:
$110,000 - $160,000Location:
Seattle, WA - Hybrid, Up to 3x per weekJob Description
Our client is seeking an experienced data engineer for a role based in Seattle. The ideal candidate is a creative, self-motivated individual with extensive experience tackling complex problems. They should possess strong leadership qualities and expertise in software development principles, data engineering, cloud technologies, business intelligence, and interpersonal skills.Responsibilities
Collaborate closely with stakeholders to understand requirements and implement appropriate solutions.Analyze source systems, define data sources and transformation requirements, design data models, and document specifications.Implement data models and data mining solutions.Design and deploy ETL and data cleansing solutions.Develop and maintain data infrastructure using best practices in software engineering and data management.Ensure high standards of expertise and deliver fair outcomes for customers.Requirements
Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics, or a related field from a recognized university.3+ years of experience in business intelligence, including data warehousing and BI tools.3+ years of experience in analytics or business analysis.Expertise in SQL (DQL and DDL).Proficiency in large-scale Data Warehousing and Online Analytical Processing.Proficiency in AWS technologies (Redshift, RDS, S3, EMR).Familiarity with Linux scripting (bash, python, javascript).Strong skills in BI reporting tools (Tableau, OBIEE, Cognos, MicroStrategy, SSAS Cubes).Hands-on experience with distributed computing (MapReduce, MPP architecture, NoSQL databases).Expertise in data warehouse and relational database design.Experience with data mining algorithms and data cleansing.Ability to collaborate effectively with clients and stakeholders.Excellent English communication skills (written and verbal).Interview Process
Candidates will undergo a multi-stage interview process including evaluations of communication, technical skills, and live practical exercises. Cultural fit with the team and final approval by the client are also part of the process.--Please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.
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