Python

I. Data Analytics Engineer: REQUIREMENTS • Bachelor’s degree in computer science, Information Technology or equivalent • Minimum of 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. • Excellent communication skills including written, verbal and presentation. JOB 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. II. Data & Reporting Engineer REQUIREMENTS Bachelor’s Degree in Computer Science, Information Technology or equivalent. • Minimum of 3 years working experiences in data technologies, reporting tools, relational databases, ETL, data lake and data warehousing • Strong skill and knowledge in SQL, stored procedures, and capable of designing complex and performant SQL queries • Experience in at least one or more languages: Python, and C#.NET. • Experience in developing cron job, REST APIs, Web Services, text and XML processing • Proficiency in designing and develop dashboards and reports using BI tools such as Power BI, Grafana or Excel • Experience in AWS technologies such as AWS Glue, Kinesis, lambda, Firehose, Redshift, S3, EC2 instances, EMR, and DMS. • Demonstrated analytical mind to work with large amounts of structured and unstructured data: facts, figures, and number crunching • Passionate about data and analysing business needs • Excellent communication skills including written, verbal and presentation. JOB DESCRIPTION: • Design, develop, verify, and deliver ad-hoc or automated operation reports, maintaining the highest quality, accuracy, and reliable in a timely way • 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 • Develop, enhance, and maintain large and complex ETL scripts and datasets • Work closely with software developers to manage and document data models as per the standards, and manage data dictionary and entity relationship • Maintain data integrity includes performs extensive data validation, cleansing, quality assurance, and reconciliation • Conduct troubleshooting on internal, external and data processes to identify and resolve data issues • Identify opportunities to improve data management technologies • Manage data access and delivery per data security policies • Assists to re-engineer and manage data pipelines architecture, data lake and data warehouses as needed. Note 2 vị trí: 1) Data Analytics Engineer; và 2) Data & Reporting Engineer.

- 2 vị trí này yêu cầu cần từ 3 năm kinh nghiệm trở lên - đặc biệt cao về English skill/ Fluent.