Job title: Senior Data Engineer, AIGC Science and Analytics
Job description: DESCRIPTION
The AIGC Science and Analytics team is seeking a highly skilled and motivated Senior Data Engineer to join our team. You will be leading Data Engineering space to support the AIGC org initiatives. If you enjoy innovating, thinking big and want to contribute directly to the success of a growing team, you may be a prime candidate for this position.
The successful candidate will be an expert with ETL programming/scripting, data modelling, data integration, SQL and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with AWS technologies, can model multidimensional datasets, and can partner with customers to answer key business questions.
Key job responsibilities
Owning the design, operations and improvements for the Data warehouse infrastructure
Engineering solutions to aggregate and automate large scale data flows from varying sources
Collaborate with Engineers and Scientists in the organization to construct complex data sources for algorithms and machine learning models
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Build real time streaming from internal and external sources to provide insights to the business
Build, analyze and present actionable data to drive marketing business development and product management decisions
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
5+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL
7+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
Experience with data modeling, data warehousing, and building ETL pipelines · Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline
Proficiency in SQL and at least one modern programming language such as Python, Perl, Ruby, or Java
Experience using business intelligence reporting tools such as Tableau, or Quick Sight
10+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
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Location: Seattle, WA
Job date: Sat, 09 Jul 2022 23:01:20 GMT
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