Data Engineer (ETL)

Qualifications:
Graduate in BS Mathematics, Computer Science, Information Management, Information Technology or Statistics
3+ 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
Technical expertise regarding data models, database design, ETL development, and data mining
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

Responsibilities:
Perform data cleaning, preparation, reporting, and data analysis
Assembling 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
Implements 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.
Designs data integrations and data quality framework
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues