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
