About Company
I am currently partnering with an established organization leveraging advanced technical systems to drive data-driven decision-making and cross-functional analytics solutions.
About Job
- Design & Optimize Architecture: Build, scale, and continuously improve robust data frameworks, pipelines, and analytical data warehouses to support enterprise-wide analytical needs.
- Data Processing & Pipeline Engineering: Create and deploy end-to-end ETL/ELT workflows, batch scripts, and data ingestion processes for both structured and unstructured data assets.
- Performance Tuning: Conduct database optimization, schema design, and PL/SQL/SQL tuning to ensure low-latency application performance and reliable data flows.
- Support Modeling Teams: Clean, massage, and curate raw data into highly available formats, directly enabling data scientists to perform descriptive and predictive modeling.
- Asset Governance: Maintain and organize comprehensive data catalogs to ensure data assets are highly accessible, secure, and easy to retrieve for all business stakeholders.
Skills and Requirements
- Core Technical Experience: Minimum of 3 years of hands-on experience in data engineering, warehousing, database development (Oracle SQL/PLSQL), and cloud infrastructure-specifically within AWS ecosystems (EC2, S3, Redshift, Athena, EMR, Kinesis).
- DevOps & Infrastructure: At least 3 years of experience in Kubernetes-based DevOps environments, container orchestration, microservices deployment, and CI/CD engineering.
- Programming & Tooling: Proficient in SQL, Python, or R for data aggregation, alongside familiarity with enterprise data frameworks (e.g., Spark, Hadoop, HDFS, Airflow, Hive, Scala, or Java).
- Data Management: Proven capability in web crawling, building data lakes, managing real-time streaming solutions, and handling diverse datasets (structured/unstructured).
- Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
To apply online please use the apply function, alternatively you may contact Krishna at +65 8027 4960.
(EA: 94C3609/ )
