Amazon Jobs – Data Engineer

Job Description:

We are part of AWS Product BI team. This team supports the business intelligence needs for Compute, Storage, Networking, Automation & Messaging, Management Tools and Developer Tools product families. We own the data, metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports, WBRs, Analyses/Narratives and Datasets. We innovate on behalf of our end-users to produce relevant Metrics, Automations and Tools to make Data and Insights actionable.

Job Responsibilities:

• Designing, developing, troubleshooting, evaluating, deploying, and documenting data management and business intelligence systems, enabling stakeholders to manage the business and make effective decisions.
• Reviewing and participating in testing of the data design, tool design, data extracts/transforms, networks and hardware selections
• Building secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.
• Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data design (e.g., Logical and Physical Modeling), data persistence technologies, data processing, data management, and data analysis.
• Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Ensuring completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements

Job Requirements:

• 2+ years of experience with and detailed knowledge of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding.
• Bachelors degree in software engineering or a relevant quantitative discipline
• 2+ years of large IT project delivery for BI oriented projects
• 2+ years experience working with core AWS data and analytics services. Understand of the applicability, limitations, and trade offs between a wide set of AWS database and analytics technologies.
• 1+ years experience working with distributed computing and associated technologies such as Spark, EMR, etc.
• 2+ years development experience in python or similar scripting language for automation
• 2+ years of work experience with ETL, Data Modeling, and Data Architecture with hundreds of terabytes of data
• Strong grasp of SQL and at least one scripting or programming language.
• 2+ years experience with Redshift or very large DW environments. Tangible experience working with Redshift Spectrum, AWS Glue, DynamoDB, and S3
• Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
• Proven ability to meet tight deadlines, multi-task, and prioritize workload – A work ethic based on a strong desire to exceed expectations.
• Experience with distributed systems and NoSQL databases – Experience with Big Data technologies e.g. Hadoop, Hive, Oozie, Presto, Hue, Spark, Scala and more!
• Experience in designing and delivering cross functional custom reporting solutions.
• Excellent analytical skills
• Experience with Massively Parallel Processing (MPP) databases – Redshift, Teradata etc

Job Details:

Company: Seattle, WA, USA

Vacancy Type:  Full Time

Job Location: Seattle, WA, USA

Application Deadline: N/A

Apply Here

careers-trivia.net