Data Engineer

We are seeking a skilled and experienced Senior Data Engineer to design, develop, and optimize data pipelines and infrastructure. This role is critical for managing our data platform and ensuring that high-quality data is readily available for analysis, reporting, and decision-making. The ideal candidate has strong technical expertise, excellent problem-solving skills, and a passion for data-driven solutions.

Key Responsibilities

Key skills: AWS, Data pipeline, SQL, Python, Snowflake, ETL

• Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines for batch and real-time processing.
• Data Integration: Integrate data from diverse sources (databases, APIs, files, etc.) into centralized data repositories (data lakes, warehouses).
• Infrastructure Management: Build and manage robust, scalable, and cost-efficient cloud-based or on-premises data platforms.
• Data Modeling: Create and maintain optimized data models that support analytics and reporting needs.
• Data Governance: Ensure data quality, integrity, security, and compliance with organizational and regulatory standards.
• Collaboration: Work closely with data scientists, analysts, and software engineers to understand requirements and deliver appropriate solutions.
• Performance Optimization: Identify and implement improvements to optimize data processing and storage.
• Technical Leadership: Mentor junior data engineers and contribute to best practices, documentation, and knowledge sharing.
• Monitoring and Troubleshooting: Establish monitoring systems for data workflows and address issues promptly.