Lead AWS DevOps Engineer
Research InnovationsSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related field, and have at least 7 years of experience in data engineering, with a focus on building and maintaining large-scale data infrastructures. Strong experience with AWS services including Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS is essential. Experience with data modeling, data warehousing, and ETL processes is also required.
Responsibilities
As a Senior Data Engineer, you will be responsible for designing, building, and managing large-scale data infrastructures using various AWS technologies, ensuring data performance, availability, and security. You will collaborate with data scientists and other stakeholders to develop data-driven solutions, translate requirements into detailed design proposals, mentor junior engineers, troubleshoot data issues, and optimize data queries and processes. You will also evaluate and advise on technological components for database management.
Skills
AWS
Data Infrastructure
Scalable Systems
AI
Machine Learning
Appen
Provides high-quality training data for AI
About Appen
Appen provides high-quality training data necessary for developing artificial intelligence (AI) systems, specializing in collecting and labeling data such as images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its global reach and extensive contractor network, allowing it to offer reliable data tailored to client needs. The goal of Appen is to enable organizations to create AI systems that perform various functions, enhancing the overall capabilities of AI technology.
Sydney, AustraliaHeadquarters
1996Year Founded
$358MTotal Funding
IPOCompany Stage
AI & Machine LearningIndustries
10,001+Employees
Benefits
Remote Work Options
Professional Development Budget
Flexible Work Hours
Risks
Increased competition from emerging data annotation startups threatens Appen's market share.
A major contract breach with Google highlights potential client relationship vulnerabilities.
Office closures in Toronto and Bellevue may impact operational capabilities and morale.
Differentiation
Appen specializes in high-quality training data for AI systems.
Appen offers multi-language database development for complex language technology needs.
Appen's Social Instinct platform moderates social media content in multiple languages.
Upsides
Appen raised $50 million to capitalize on generative AI opportunities.
Appen launched a solution for enterprises to customize large language models.
Appen recognized as a leader in data annotation by Everest Group in 2024.
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