Job Description

About our group:

--------------------


We are a team of experienced IT MES (Manufacturing Execution System) business analysts and developers based in

Woodlands

. We focus on both

business and IT initiatives

to support and improve the operational and functional efficiency of the

Global MES Tracking System

, deployed at regional sites in

Singapore

,

Malaysia

,

US

,

Thailand

and China.



Our key focus is to design, develop, and manage data models using

data pipelines

(ETL/ELT) for structured and unstructured data from various sources. If you're a Master of the "big picture", with demonstrated success in developing Big Data solutions where you build massive Data Lakes, then we want to talk with you. Snap up on this opportunity for your next big career challenge to create business value as you showcase your strength in technical architecture for designing systems and leading projects. You'll primarily work with our BigData and Analytics group and based in our Singapore and Pune,India office.

About the role - you will:

-------------------------------

Part of 10-12 Platform Engineers that are the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and advanced analytics platforms at SeaGate Apply your hands-on subject matter expertise in the Architecture of and administration of Big Data platforms - Data Warehouse Appliances and experience with ML and Data Science platforms (Spark ML , H2O , KNIME) Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders Design, scale and deploy Machine Learning pipelines. Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure. Testing and troubleshooting to ensure system reliability, performance, and usability Managing the project by handling multiple tasks, collaborating with mentors and stakeholders, and ensuring timelines are met

About you:

--------------

Excellent coding skills in any language with a deep desire to learn new skills and technologies. A passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing analytics Exceptional data engineering skills in large, high-scale Data platforms and applications using cloud and big data technologies like Hadoop ecosystem and Spark

Highly independent

and able to work with minimal supervision

Adaptable to changes

and responsive to evolving project needs

Strong communication and interpersonal skills

for effective collaboration

Passionate and committed

to delivering quality work

Proactive and self-motivated

with a problem-solving mindset

Your experience includes:

-----------------------------

Pursuing a degree in Computer Science, Software Engineering, or a related field Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR Big data solutions on cloud (AWS or Other) Data Warehouse Appliances, Hadoop (AWS EMR), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME ) Python, Java, Scala DevOps, Continuous Delivery, and Agile development Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers

Location:

-------------


Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.

Location

: Woodlands, Singapore, W2

Travel

: None