Data Analytics Engineer
We are looking for people who has passion of working with large scale of data in a fast pace growing environment. Those who understand life cycle of data from creation to decision making. This position requires engineering large scale data systems including analyze, design, develop, test, QA and support. Candidate will be working closely with other engineering/ops/executive teams to gather requirements and build a system, which can solve their data requirements. The candidate is expected to be self motivated, set goals and meet aggressive timelines. The candidate will also be working with other members of the development team which are located in different geographical region.Essential Functions:Design and implement technical solutions that touch on database, ETL, data mining, and reporting technologies.Participate in scalability assessments and technology evaluations.Work with other teams including sales, marketing, data analytics to understand their data requirementsData management to cater growing data volume
Title: Data Analytics Engineer
Salary: None
Description: We are looking for people who has passion of working with large scale of data in a fast pace growing environment. Those who understand life cycle of data from creation to decision making. This position requires engineering large scale data systems including analyze, design, develop, test, QA and support. Candidate will be working closely with other engineering/ops/executive teams to gather requirements and build a system, which can solve their data requirements. The candidate is expected to be self motivated, set goals and meet aggressive timelines. The candidate will also be working with other members of the development team which are located in different geographical region.Essential Functions:Design and implement technical solutions that touch on database, ETL, data mining, and reporting technologies.Participate in scalability assessments and technology evaluations.Work with other teams including sales, marketing, data analytics to understand their data requirementsData management to cater growing data volume
Requirements: None experience, None education
Fraudulent: No