Data Analytics Engineer Full-time
2 weeks ago
Self-motivation and commitment
- Good responsibility and accountability
- Good Communication In English and Interpersonal Skills
**DESCRIPTION**:
- 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 Business Intelligence requirements and estimate level of efforts
- Develop, secures, and maintains Business Intelligence solutions and dashboards according to best practices
- 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
- Develop, maintain and document logical and physical database models per the standards
- Performs additional ad-hoc report generation and reconciliation as required.
**REQUIREMENTS**:
- +3 years working experiences in data technologies, relational databases, ETL, data lake and data warehousing
- Strong knowledge and skill in SQL, Python, and AWS
- 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 at least 2 or more reporting/analytic tools
- Power BI, Grafana, AWS QuickSight, etc.
- Having programming concept in data models, database design development, data mining and segmentation techniques
- 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.
**SALARY**:
- Competitive salary and benefits
- Full salary in probation time
- Annual performance review and bonus
- Premium private insurance, annual health check
- Company trip, team buildings, Happy Hour
- Gifts on special occasions: Birthday, Tet, Christmas
- Cafeteria and free snack, fitness room.
- Paid leave: 12 annual leave, 5 marriage leave, maternity leave, 30 sick leave
- Opportunity to train both technical and soft skills to develop your career path
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