Data Engineer

Job Descriptions:

• Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data.

• Design, Develop and maintain report used for daily operation, management and analytics

• Build the infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.

• Develop and maintain all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements into all design specifications

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

• Build analytics tools that utilize the data pipeline to provide actionable insights

• Explore ways to enhance data quality and reliability Explore ways to enhance data quality and reliability

• Document all test procedures for systems and processes              

Job Requirements:

• Bachelor's degree from computer science or related fields, or equivalent software engineering experience.

• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL). Preferably on MS SQL

• Advanced Knowledge in reporting service tools. Preferably Microsoft SSRS

• Advanced Knowledge in ETL / data pipeline applications. Preferably Microsoft SSIS.

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

• Have an understanding and experience regarding the reporting dashboard and data warehouse concepts

• Experienced in object-oriented/object function scripting languages: Python, Java, C#,C++, 

• Proficiency in source control i.e. Git.

• Got 2+ years of experience in Data Engineering role.

• Familiar with Azure ETL product like Azure Data Factory, Azure Synapse, Azure Datalake, Azure Devops would be a great addition.