Data Engineer

Job Description: As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and systems to support data processing, analysis, and visualization. You will collaborate closely with cross-functional teams to understand data requirements, optimize data workflows, and ensure data quality and reliability. Responsibilities: 1. Data Pipeline Development: Design, build, and optimize data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes, ensuring scalability, reliability, and efficiency. 2. Data Modeling : Develop and maintain data models and schemas to support business analytics, reporting, and machine learning applications, ensuring data integrity, consistency, and performance. 3. Data Integration: Integrate data from disparate sources, including databases, APIs, streaming platforms, and third-party systems, to provide unified views of data for analysis and reporting purposes. 4. Data Quality Assurance: Implement data quality checks and monitoring processes to identify and rectify data anomalies, inconsistencies, and errors, ensuring high data quality and reliability. 5. Performance Optimization: Optimize data processing and query performance through indexing, partitioning, and caching techniques, leveraging distributed computing frameworks and database technologies. 6. Infrastructure Management: Manage and maintain data infrastructure components, including databases, dat