DBT Data Engineer

Responsibilities • Building and maintaining dbt transformation models across multiple pipeline layers — from raw ingestion through to governed, consumer-ready datasets • Writing Snowflake SQL for complex transformations: type casting, deduplication, incremental load logic, surrogate key generation • Developing and debugging Apache Airflow DAGs on AWS ECS • Contributing to AWS Lambda-based ingestion( Python) — file validation, control file generation, S3 event handling • Maintaining source-to-target mapping documentation and aligning models to business requirements and data specs • Supporting onboarding of downstream consumers via data sharing mechanisms and event-driven notifications • Participating in code reviews, writing YAML-based data quality tests, and owning tickets from design through to production Tech stack required • Strong SQL • **Proficiency with dbt Core (Must have)** • Apache Iceberg Table format (Nice to have) • Apache Airflow • **AWS -** Working Knowledge of S3, Lambda, MWAA, ECS, Glue Catalogs, Lake Formation, Lambda, SQS, EventBridge • Experience with fixed-format or structured financial data files • CICD with Github Actions. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/) Confidentiality is assured, and only shortlisted candidates will be notified for interviews.