Data Engineer (ETL Developer)

ScienTec Consulting

  • Singapore
  • Permanent
  • Full-time
  • 3 days ago
Job DescriptionYou will be responsible to expand and optimize data pipeline architecture, as well as optimizing data flow and collect for cross-functional teams.
  • Salary up to $7,000 + AWS + VB
  • Hybrid working arrangement with supportive working environment
  • Exposure to Oracle and Amazon RDS
Responsibilities: * Design, develop, deploy and continuously improve ETL tasks and be involved in data preparation for descriptive and prescriptive modelling.
  • Design and develop data pipelines for data modelling, mining and production.
  • Ensure data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business.
  • 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 modelling.
  • Ensure data assets and data catalogs are organized and stored in an efficient way.
  • Perform PL/SQL and SQL tuning and optimization of newly develop and existing applications.
Requirements:
  • min. 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
  • Working experience in database development for OracleSQL/PLSQL
  • Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis
  • Skills in Python, R, SQL for data cleaning, processing and aggregation
  • Hands-on experience in data crawling, data modelling, data lake formation and data warehouse construction
Be a driving force in cloud innovation and automation. Submit your updated resume today!
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).This authorizes us to:
Contact you about potential opportunities.Delete personal data as it is not required at this application stage.All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.Ng Kee Hung (Vickus) - R2091423
ScienTec Consulting Pte Ltd - 11C5781

ScienTec Consulting

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