Data Engineer

Master Data Management (MDM): Design and implement MDM strategies to ensure data consistency, quality, and accuracy across multiple systems. ETL Development: Develop, maintain, and optimize ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes. AWS Services: Utilize AWS cloud technologies (such as Redshift, S3, Lambda, and EC2) to support scalable and cost-effective data storage and processing solutions. Data Analysis & Reporting: Develop interactive dashboards and reports in Tableau to visualize key business metrics and provide actionable insights to stakeholders. Python & SQL Development: Write efficient Python scripts and SQL queries to process, manipulate, and analyze large datasets. Data Integration: Integrate data from various internal and external systems, ensuring seamless data flows and supporting business needs. Data Quality Assurance: Ensure high data quality standards are met by performing regular data validation, cleansing, and enrichment processes. Collaboration: Work closely with cross-functional teams (data scientists, business analysts, IT) to understand business requirements and translate them into effective data solutions. Performance Optimization: Continuously monitor and optimize data processing and reporting systems to improve efficiency and reduce processing time. Documentation: Maintain comprehensive documentation for ETL processes, data pipelines, and dashboard designs.