Requirements:
- Bachelor's degree in computer science or related fields, or equivalent software engineering experience
- Advanced SQL knowledge and experience working with relational databases, and query authoring (SQL). Preferably on MS SQL
- Advanced Knowledge of 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 1-2 years of experience in a Data Engineering role
Job Descriptions:
- Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data
- Design, Develop, and maintain reports 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