Data Engineer

Responsibilities:

-Perform data cleaning, preparation, reporting, and data analysis

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

-Perform data extraction, aggregation, and quality checking from multiple sources and tables in support of trend identification, root cause analysis, and validation of the performance measures

-Support development and maintenance of a data pipeline and data warehouse

-Support troubleshooting data pipeline and data warehouse issues

-Create and maintain optimal data pipeline architecture

-Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

-Design data integrations and data quality framework

-Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

Qualifications:

-Graduate of BS Mathematics, Computer Science, Information Management, Information Technology or Statistics

-Has at least 5 years of experience in data engineering in a customer or business facing capacity

-A strong understanding of data modelling, data structures, databases, and ETL processes

-Strong technical understanding of Data Analytics concepts, data warehouses and marts reporting and visualizations

-Experience using data extraction and analysis tools, such as SQL and Python

-With at least one year experience in Power BI

-Technical expertise regarding data models, database design, ETL development, and data mining

-With skills in predictive modeling

-General understanding of ETL/ELT frameworks, error handling techniques, data quality techniques and their overall operation

-Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

-Possess excellent oral and written communication and interpersonal skills