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Data Engineer I - AMZ4742
Seattle, Washington, USA
Amazon.com
MULTIPLE POSITIONS AVAILABLE
Entity: Amazon.com Services LLC
Job Title: Data Engineer I
Location: Seattle, WA
Position Responsibilities:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, AWS Redshift, and OLAP technologies.. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Position Requirements:
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation. Must have one year of experience in the following skill(s): Hands-on experience with Big data technologies and frameworks including Spark, Hadoop, SQL on Big Data, Redshift; Experience with ETL, Data Modeling, and working with large-scale datasets; experience with business processes, logical data models and relational database implementations; and Experience with scripting or programming language such as Python, Perl, or Java.
Entity: Amazon.com Services LLC
Job Title: Data Engineer I
Location: Seattle, WA
Position Responsibilities:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, AWS Redshift, and OLAP technologies.. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Basic Qualifications
Position Requirements:
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation. Must have one year of experience in the following skill(s): Hands-on experience with Big data technologies and frameworks including Spark, Hadoop, SQL on Big Data, Redshift; Experience with ETL, Data Modeling, and working with large-scale datasets; experience with business processes, logical data models and relational database implementations; and Experience with scripting or programming language such as Python, Perl, or Java.
Preferred Qualifications
Please see job description and position requirements above.
Job tags:
AWS
Big Data
Business Intelligence
Engineering
ETL
Hadoop
Java
Perl
Python
Redshift
Research
Spark
SQL
Job region(s):
North America