Data Engineer

Experience in data visualization, data cleaning, data manipulation (extract, transform, load), and tool usage of Talend, SSIS, DataStage, Oracle Data Integrator

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Databases - MS SQL/Oracle/Teradata/NoSQL DB

Strong analytical skills and ability to interpret complex data

Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

A successful history of manipulating, processing and extracting value from large datasets.

Excellent communication abilities in English communication skill, in written and oral.

Familiarity with the Azure Cloud ecosystem

[Data analysis] Define and specify data analysis target and support modeling / verification / test / application.

[Data-based decision making] Research and support the insight to support decision making in the areas of business direction/market strategy/product strategy.

[Verification of decision effects] Support methods to verify the effect of decision on business (A/B Test, Simulator).

[Algorithms assetization] Support implementing, evaluating and verifying algorithms for data analysis.