
Skills / Tools
- SQL & Python / PySpark
- AWS Services: Glue, Appflow, Redshift - Mandatory
- Data warehousing basics
- Data modelling basics
Job Description
- Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services
- A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes
- Work with stakeholders to identify business needs and requirements for data-related project
- Strong SQL and/or Python or PySpark knowledge
- Creating data models that can be used to extract information from various sources & store it in a usable format
- Optimize data models for performance and efficiency
- Write SQL queries to support data analysis and reporting
- Monitor and troubleshoot data pipelines
- Collaborate with software engineers to design and implement data-driven features
- Perform root cause analysis on data issues
- Maintain documentation of the data architecture and ETL processes
- Identifying opportunities to improve performance by improving database structure or indexing methods
- Maintaining existing applications by updating existing code or adding new features to meet new requirements
- Designing and implementing security measures to protect data from unauthorized access or misuse
- Recommending infrastructure changes to improve capacity or performance
- Experience in Process industry

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Mandatory (Note): CV must have portfolio link with at least 2 detailed case study
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