Job Description

We\'re looking for a talented Data Engineer to join our team and help expand and optimize our data pipelines and architecture. Play a crucial role in developing, constructing, and maintaining data warehouses and pipelines to support analytical and business needs!

• Competitive remuneration package (up to $7,000 + AWS + VB).
• Hybrid working arrangement.
• Collaborative environment that encourages innovation and growth.

Responsibilities:

• Build, test and maintain data architectures (databases, data warehouses, large-scale data processing system, etc.)
• Design, test, and optimize data pipelines for modeling and processing.
• Collaborate with teams and stakeholders to ensure data flow/achitecture meets analytics requirements.
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive model.
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications .
• Improve data quality, availability, and efficiency.

Requirements:

• Singaporean only.
• Minimum of 3 years experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT.
• Proven experience with Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment..
• Expertise in writing and optimizing Oracle PL/SQL and performing database optimization and performance tuning.
• Working experience in AWS cloud. (Related certification will be added advantage).
• Knowledge of Python, R, SQL for data cleaning, processing and aggregation .
• Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig.
• Related certifications in developer/data science/database/machine learning will be a plus.

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• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Vi Yin (Vanessa) - R24123532
ScienTec Consulting Pte Ltd - 11C5781

ScienTec Consulting