Design and develop robust data pipelines to support efficient data processing and transformation

Implement scalable data architectures to meet the needs of analytics and business intelligence teams

Collaborate with stakeholders to gather requirements and translate them into technical solutions

Optimize and maintain data workflows to ensure high performance and reliability

Work with structured and unstructured data to enable seamless integration across different systems

Monitor and troubleshoot data systems to resolve issues and ensure data accuracy

Apply security protocols to protect sensitive data and ensure compliance with regulations

Conduct code reviews to uphold coding standards and deliver high-quality solutions

Stay informed about emerging technologies and best practices to continuously improve data engineering processes

A Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

At least 3 years of hands-on experience in data engineering with a proven track record of delivering scalable solutions

Proficiency in Python for scripting, automation, and data manipulation tasks

Experience working with Amazon Web Services (AWS) to build and manage cloud-based data solutions

Solid knowledge of Snowflake for data warehousing and advanced analytics

Advanced SQL skills for querying, transforming, and analyzing data in relational databases

Familiarity with NoSQL databases for managing semi-structured or unstructured data

Experience with CI/CD processes for automating data workflows and deployments

Strong understanding of SDLC methodologies and experience implementing them in data projects

Practical experience working in Agile environments for iterative development and delivery

Fluent English language skills (written and spoken) at a B2 level or higher

Experience with data visualization tools or frameworks to support reporting and analytics

Familiarity with machine learning or AI models to enhance data-driven decision-making