Data Engineer

Building robust and scalable data infrastructure and systems. Participating in the development of data pipelines, data models, and data integration solutions, ensuring the efficient processing, storage, and analysis of large volumes of data. Collaborating closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and implement solutions that enable effective data-driven decision-making. 
RESPONSIBILITIES

• ·      Design, build, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into target systems, data warehouses, or data lakes. Ensure the reliability, performance, and integrity of data pipelines.
• ·      Develop data integration pipelines to consolidate data from multiple sources, ensuring data consistency and accuracy.
• ·      Implement data transformation processes to convert and cleanse data according to ...