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.

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

Skills