Design, develop, and maintain scalable ETL and ELT pipelines for efficient data ingestion and processing

Build, enhance, and support REST APIs for system integration

Develop and maintain frontend applications as part of the data platform

Assist stakeholders from data, design, product, and executive teams with technical data challenges

Maintain and optimize AWS infrastructure to support data operations

Tune SQL queries and ETL pipelines for optimal performance

Identify and implement opportunities for process efficiency and automation

Troubleshoot data issues, analyze end-to-end data pipelines, and collaborate with users to resolve problems

Stay current with emerging technologies and industry standards

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

At least 3 years of relevant experience in data engineering

Experience with frontend development and JavaScript/TypeScript, with a primary focus on data and backend systems

Proficiency in SQL, preferably with PostgreSQL

Strong development skills in Python, with experience in source control and versioning using GIT

Hands-on experience with big data, ETL, and cloud technologies, especially AWS-based tools such as Python, Terraform, Glue, S3, and SQS

Solid understanding of the AWS ecosystem

DevOps mindset with significant experience in automation using Github or Github Actions

Experience with automated testing for both frontend and backend

Background in triaging and resolving support tickets

Experience working in a global team environment

Ability to design and document development best practices

Strong skills in API design and documentation, particularly REST APIs

Excellent analytical and data manipulation abilities

Proven experience in technical leadership within data and analytics

Strong interpersonal skills and a collaborative approach to project delivery

Ability to build and maintain strong relationships with business stakeholders

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

Experience with Agile methodologies and tools such as Jira

Familiarity with Snowflake, DBT, Redshift (including Spectrum), and Aurora

Background in data visualization technologies, especially Power BI

Understanding of AI code generation tools, their capabilities, and limitations