Data Engineer (with Snowplow)

Job description

You might be our missing piece if you have: 5+ years of experience in data engineering, database development, and cloud-based data solutions (especially on AWS) Strong proficiency in SQL (T-SQL, PL/SQL) and experience with database technologies (e.g., Oracle, SQL Server, Snowflake/Redshift) Hands-on experience with ETL/ELT tools and frameworks, including modern cloud integration services (e.g., AWS Glue, Apache Airflow or Azure Data Factory) Experience with Snowplow or similar event data tracking pipelines, including their implementation, maintenance, and optimization for behavioral data collection and analytics Experience with data modeling, data integration, and data warehousing concepts Strong programming skills in Python (e.g., Pandas, automation scripting) for ETL pipeline development Knowledge of data governance and data quality frameworks, as well as security best practices for data (e.g., GDPR) Experience working in Agile development environments, with collaborative tools and iterative processes We would be thrilled if you have: Strong understanding of data lake architectures and advanced cloud-based data solutions (with depth in AWS data services) Familiarity with high-per...