Expired

Job Responsibilities

• Design, build, re-engineer and maintain sustainable, scalable, and manageable data pipelines architecture, data lake and data warehouses to support business and operation needs and decision making
• Collaborate with stakeholders to determine requirements, estimate level of efforts, and implement solutions for data analysis, reporting, cron jobs, dashboard visualizations, and data integration across various systems
• Performing data analysis, transformation, integration across various data sources
• Maintain data integrity and accuracy includes performs extensive data validation, cleansing, quality assurance, and reconciliation
• Identify, collect, and interpret complex datasets, analyse results to support ongoing reports and advanced analytics
• Designing and implementing enterprise data and reporting architectures
• Accounts for the accuracy and integrity of the data presented to report/dashboard audiences
• Performs additional ad-hoc report generation and reconciliation as required.

Job Requirements

• +3 years working experiences in data technologies, reporting tools, relational databases, ETL, data lake and data warehousing
• Strong knowledge and skill in SQL and AWS
• Experience in at least one or more languages: Python, and C#.NET.
• Experience in design, develop, optimizing and troubleshooting scalable AWS Data Platforms using AWS technologies such as AWS Glue, Kinesis, lambda, Firehose, Redshift, S3, EC2 instances, EMR, and DMS
• Proficiency in designing and develop dashboards and reports using BI tools such as Power BI, Grafana or Excel
• Demonstrated Analytical mind to work with large amounts of data: facts, figures, and number crunching, translating data into informative business intelligence visualization
• Passionate on numbers, anticipate new data technologies trends to resolve technology, operation, and business problems
• Good English communication skills including written, verbal and presentation.