Sunrise Software Solutions

DATA ENGINEER
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Founding in 2007, S3Corp. is a software development outsourcing-service company which is located in Ho Chi Minh City, Viet Nam. We offer a Full Range of Software Development Services for many oversea clients. With 250 skilled engineers and growing, S3Corp. proudly to be awarded the "Sao Khue Recognition of Excellence 2022", award category: Software Outsourcing Service.
Your role & 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.
Your skills & qualifications:
+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.