Sr. Data Engineer

Design and implement data migration strategies for transitioning on-premise or legacy systems to a cloud environment.,Build and maintain robust ETL/ELT pipelines to process structured and unstructured data.,Develop and optimize complex SQL queries, stored procedures, and scripts for data processing.,Ensure data integrity, quality, and governance throughout the transformation process.,Collaborate with Data Architects and Analysts to define data models and transformations.,Enable self-service analytics by structuring data effectively for end-users.,Implement data observability, monitoring, and logging mechanisms.

2+ years of professional experience as a Data Engineer.,Strong experience in SQL, Python, and cloud-based ETL frameworks.,Hands-on experience with AWS, Azure, or Google Cloud (GCP).,Proficiency in Snowflake, BigQuery, Redshift, or similar data warehousing platforms.,Experience in structuring data for Tableau or similar BI tools.,Experience with Apache Airflow, Talend, DBT, or similar ETL frameworks.,Familiarity with Spark, Hadoop, or other big data technologies (plus).,Actuarial Knowledge and Insurance industry knowledge (nice to have).,Knowledge of factors affecting Claims and Insurance Policies (nice to have).,Other programming skills considered an asset (nice to have).