​I. Job Responsibilities:

• Assembling large, complex sets of data that meet non-functional and functional business requirements

• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

• Works closely with all business units to develop strategy for long term data platform architecture.

II. Job Requirements:

• University degree in Computer Science, Engineering and/or a technically oriented field

• 2 years of experience with Flink/Spark, Databricks

• 2 years of experience with Azure (DP200 and/or DP201, DP203 certification acts as a plus)

• Passionate about analytics machine learning technology & applications and eager to learn

• English communication

• Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce

• Knowledge of Azure services like Storage Account, Azure DataBricks etc.

• Good knowledge of SQL and excellent coding skills

• Working knowledge of various ML/DL applications such as Keras, Tensorflow, Python scikit learn and R

• Self-Development, communication, problem-Solving Skills.

• Open-minded, multi-tasking, teamwork, flexible and interest to learn new things