Sr.Data Engineer

Responsibilities:

• Data Pipeline Development: Design, build, and maintain efficient and scalable data pipelines to ingest, process, and transform large volumes of data from a variety of sources into data warehouses or data lakes.
• Architecture & Infrastructure: Develop and maintain the architecture for data storage and processing systems (e.g., data warehouses, data lakes, ETL frameworks) that support analytics and reporting needs.
• ETL/ELT Processes: Build and optimize ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to ensure high-quality and accurate data delivery for analytics teams.
• Collaboration: Work closely with data scientists, analysts, and other engineering teams to ensure the data infrastructure supports a variety of use cases (e.g., machine learning models, business intelligence).
• Data Quality & Optimization: Implement best practices for data quality, validation, monitoring, and optimization to ensure data integrity and availability.