JOB RESPONSIBILITIES:

• Design, implement, monitor, and maintain performant and scalable ETL pipelines to efficiently and effectively extract data from various sources – such as databases, flat files, and online sources – both structured and unstructured, to consolidate and transform them into specified targets such as a data warehouse.
• Ensure data quality requirements in the data platforms are met through creation and implementation of automated detection of anomalies and remediation, as applicable, related to validity, accuracy, completeness, timeliness, uniqueness, and consistency.
• Collaborate with cross-functional teams to ensure data engineering solutions are aligned with business requirements and objectives – such as business and process owners, solution architects, and BI developers.
• Participate and contribute to all data-engineering related project activities – such as solution design, testing (unit testing, SIT, U...