Data Engineer | Oracle | AWS
- Working Hours: Monday to Friday
- Working Location: Central
- Remuneration package: Up to $7k + AWS + Performance Bonus
Job Brief:
We are seeking a talented Data Engineer to join our team of analytics experts. The ideal candidate will be responsible for expanding and optimizing data and data pipeline architecture, as well as enhancing data flow and collection for cross-functional teams. They will play a crucial role in developing, constructing, testing, and maintaining analytical data warehouses while building data pipelines based on business requirements.
Responsibilities:
- Develop, construct, test, and maintain data architectures such as databases, data warehouses, and large-scale data processing systems.
- Design and develop data pipelines/systems for data modeling, mining, and production.
- Ensure the data architecture supports routine and ad-hoc requirements of the data analytics team, stakeholders, and the business.
- Utilize a variety of programming languages and data crawling/processing tools to ensure raw data is clean and highly available for use in descriptive and predictive modeling.
- Recommend and implement ways to improve data quality, reliability, flexibility, and efficiency.
- Organize and store data assets and data catalogs efficiently for easy access and retrieval.
- Perform PL/SQL and SQL tuning and optimization of newly developed and existing applications.
Requirements:
- Minimum of 3 years' working experience in data architecture, data warehousing, data processing, data modeling, and ETL/ELT.
- At least 3 years' work experience in database development (Oracle SQL/PLSQL).
- Experience in AWS cloud environment, with familiarity with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis.
- Advanced programming knowledge in Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig.
- Hands-on experience in data crawling, data modeling, data lake formation, and data warehouse construction.
- Proficiency in collecting and massaging structured/unstructured/semi-structured data.
- Programming knowledge in Python, R, SQL for data cleaning, processing, and aggregation.
- Basic knowledge of Oracle database architecture.
- Ability to build thorough algorithms and deploy machine learning & statistical models will be a plus.
- Proactive attitude towards work, strong communication skills, excellent time management skills, and a team player.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, Database Administration, or related technical major.
- Related certifications in developer/data science/database/machine learning will be a plus.
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Aloysius Tan Sheng Rong - R22110441
ScienTec Consulting Pte Ltd - 11C5781
