AWS Data Engineer - Leading Consultancy Firm

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 2 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).
• 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).
• Language : Mandarin is preferred as the role involves speaking with stakeholders from Mainland China to gather customer requirements

To apply online please use the 'apply' function, alternatively you may contact Krishna at +65 8027 4960.

(EA: 94C3609/ )