Remote Senior Data Engineer

Description:

• Contribute to the design of scalable and secure data solutions aligned with business and technical needs.
• Develop and optimize efficient ETL/ELT pipelines for data ingestion, transformation, and loading.
• Analyze structured and unstructured data sources, recommending ingestion and processing strategies.
• Assist in building a robust data layer for batch and real-time processing.
• Implement data validation and cleansing strategies to ensure quality and compliance.
• Write and optimize SQL queries for performance across large datasets.
• Support data migration projects from legacy systems to cloud platforms.
• Monitor data workflows, troubleshoot issues, and propose improvements.
• Collaborate with analysts, scientists, and business teams to translate requirements into data models.
• Apply data governance standards and security best practices for compliance.
• Stay updated on emerging tools and practices for team innovation.

Requirements:

• 5+ years of experience in data engineering or related roles.
• Strong knowledge of SQL, relational databases, and query optimization.
• Hands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).
• Familiarity with data governance, security, and compliance frameworks.
• Solid understanding of batch and real-time data processing.
• Collaborative mindset with ability to work across technical and business teams.

Benefits:

• Opportunity to work on innovative data solutions in a collaborative environment.
• Continuous learning and professional development in emerging data technologies.