One Thing

Technology

SRENGINEER,DATAENGINEERING,SMAI

S$120–180k ~AI est. Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“SR ENGINEER, DATA ENGINEERING, SMAI at One Thing. Skills: Data Engineering, AI, Cloud, ETL. Build data pipelines. Maintain data pipelines”

What You'll Achieve.

Achieve faster outcomes; Achieve smarter outcomes

Industry & Context.

Technology
Problems you'll solve

Problem solving; Analytical thinking

Eligibility Requirements

Ability to travel

What They're Looking For.

Must Have

3 years experience in high-level language, 3 years experience in web programming language, 3 years experience in Data Extraction Tools, Ability to work with multiple operating systems, Experience developing data engineering solutions, Experience developing advanced analytics solutions, Experience developing business intelligence solutions, Experience with CI/CD tools, Experience with continuous integration tools, Experience with continuous delivery tools, Experience with Jenkins, Experience with Git, Experience with Docker, Experience with Kubernetes, Familiarity with software architecture, Knowledge in building APIs, Mathematics background, Problem solving skills, Software development skills, Understanding of how distributed systems work, Working knowledge of databases, Working knowledge of SQL, Working knowledge of NoSQL

Nice to Have

M.S. degree preferred

What You'll Do.

Maintain data pipelines

Build solution pipelines

Maintain solution pipelines

Ingest new requirements

Match new requirements

Accelerate data onboarding

Accelerate quality checks

Work in technical team

Optimize data systems

Drive AI-enabled analytics

Develop ETL processes

Automate ETL processes

Orchestrate ETL processes

Design data structures

Optimize data structures

Enable Smart Manufacturing AI

Support AI-driven workloads

Determine transformation requirements

Develop transformation processes

Bring structured data

Bring unstructured data

Build custom software components

Build analytics applications

Create CI/CD pipelines

Maintain CI/CD pipelines

Drive AI-informed testing

Drive monitoring automation

Drive release automation

Use AI for efficiency

Empower AI applications

Achieve faster outcomes

Achieve smarter outcomes

How You'll Work.

Team & Collaboration

Technical team; Cross-functional teams

Communication Scope

Oral communication; Written communication

Process & Methodology

Project timelines

Full Job Description

**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Responsibilities:** * Build and maintain data/solution pipelines that ingested and match the new requirements, with AI support to accelerate data onboarding and quality checks. * Work in a technical team through development, deployment, and application of preparing, and optimizing the developing and growing Micron’s methods and systems for extracting new insight for expanding data streams, driving AI-enabled analytics at scale. * Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data. * Design and optimize data structures in data management systems (Snowflake, and Google Cloud Platform) to enable Smart Manufacturing AI solutions, supporting AI-driven workloads and performance. * Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model. * Build custom software components and analytics applications, with AI support to enhance intelligence and automation. * Create/Maintain CI/CD pipelines of data engineering solutions in the cloud, driving AI-informed testing, monitoring, and release automation. * Use AI to complete work more efficiently, empowering AI applications and teams to achieve faster, smarter outcomes. **Qualifications & Skills:** * Experience developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions. * Ability to work with multiple operating systems (e.g., MS Office, Unix, Linu

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