We are looking for a mid-experience Data Engineer to help modernize our data ingestion landscape. You will play a key role in migrating legacy ETL/ingestion processes to state-of-the-art cloud-native workloads on Microsoft Azure and Snowflake, enabling reliable, scalable, and observable data pipelines. You’ll work closely with data architects, analysts, platform teams, and business stakeholders to ensure high-quality data delivery across operational and analytical use cases.

Responsibilities

• Design, build, and maintain robust ingestion pipelines (batch and near-real-time) from diverse sources such as databases, APIs, files, and event streams.
• Migrate legacy ETL/ELT processes to modern Azure and Snowflake patterns (re-platform and re-factor).
• Implement incremental loads, CDC patterns, schema evolution handling, and backfills/reprocessing strategies.
• Standardize and automate ingestion workflows using reusable frameworks, templat...