hitecture, and scalable data pipeline development.
The candidate will be responsible for designing, building, and maintaining robust data architectures and high-performance data pipelines to support business intelligence, analytics, and operational reporting requirements. The role includes developing scalable cloud-based data solutions, ensuring data quality, optimizing performance, and implementing best engineering practices.
Professionals should have hands-on experience with Python development, advanced SQL, database design, GitHub, GitHub Actions, AWS CDK, Terraform, and cloud-native data engineering solutions. Strong understanding of data modeling, ETL/ELT processes, infrastructure as code, and cloud architecture is highly preferred.
The role also involves creating and maintaining technical documentation, improving engineering efficiency, reviewing code quality, and collaborating with cross-functional teams to deliver enterprise-grade data solutions. Candidates should possess excellent analytical, problem-solving, and communication skills.
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