Create, improve, and support robust ETL and ELT pipelines to streamline data ingestion and transformation

Develop, upgrade, and maintain RESTful APIs to enable seamless system integrations

Contribute to the development and upkeep of frontend components within the data platform

Provide technical assistance to team members across data, design, product, and executive functions

Oversee and enhance AWS infrastructure to ensure smooth data operations

Optimize SQL statements and ETL workflows for better performance

Discover and implement ways to automate and improve operational efficiency

Diagnose and resolve data-related issues, reviewing end-to-end pipelines and working with users to address concerns

Keep up with the latest advancements in technology and industry best practices

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Minimum 2 years of hands-on experience in data engineering

Experience in frontend development using JavaScript or TypeScript, with a strong emphasis on backend and data systems

Advanced SQL skills, preferably with PostgreSQL

Proficient in Python development, including experience with GIT for source control and version management

Practical experience with big data, ETL, and cloud solutions, especially AWS tools like Python, Terraform, Glue, S3, and SQS

Thorough understanding of AWS services and architecture

DevOps-oriented approach with a background in automation using Github or Github Actions

Familiarity with automated testing for both frontend and backend systems

Experience handling and resolving support tickets

Proven ability to work effectively in a global team setting

Capable of designing and documenting best practices for development

Strong background in API design and documentation, especially RESTful APIs

Excellent analytical thinking and data manipulation skills

Fluent English proficiency, both written and spoken, at B2+ level or higher

Experience working with Agile frameworks and tools like Jira

Knowledge of Snowflake, DBT, Redshift (including Spectrum), and Aurora

Familiarity with data visualization tools, particularly Power BI

Understanding of AI code generation technologies, their strengths, and limitations