Data Engineer

Responsibilities:

• Data Pipeline Architecture: Design, develop, and optimize end-to-end data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. Ensure data quality, reliability, and performance throughout the pipeline.
• Data Modeling and Schema Design: Work with data scientists, analysts, and stakeholders to understand data requirements and create scalable and efficient data models. Implement and maintain database schemas that facilitate easy data access and querying.
• Data Integration: Integrate data from diverse internal and external sources, including databases, APIs, and third-party systems. Build connectors and adaptors to ensure seamless data flow between systems.
• Performance Optimization: Continuously monitor and fine-tune the performance of data pipelines and databases. Identify bottlenecks and implement optimizations to enhance processing speed and resource utilization.
• Data Security and Governance: Implement robust security measures to safeguard sensitive data. Ensure compliance with data protection regulations and industry best practices for data governance and privacy.
• Data Transformation and Enrichment: Develop data transformation routines to enrich raw data and make it suitable for analytical processing.