Senior Data Engineer (Pyspark, AWS EMR, Airflow, SQL, Data Warehousing, ETL, Spark)

📋 Description Becomes an essential part of the Data Refinement team and data integration services. Design, develop, test and deploy big data applications and pipelines. Ensure scalable, efficient, maintainable data pipelines and practices. Collaborate in a distributed, agile team with Data Engineers, Data Scientists, Cloud Engineers. Own technical implementations and architecture with communities of practice. Communicate data exchange formats with producers and consumers. 🎯 Requirements +6 years of relevant Data Engineering experience with Spark. Hands-on Python plus Java or Scala experience. Develop data-intensive, scalable apps using Spark. Write SQL to wrangle relational data. Orchestrate pipelines with Airflow or similar tools. Experience with AWS (S3, Lambda, EMR) and Open formats (Iceberg). 🎁 Benefits Flexible work environment. Wellness plans for you and family. Career development and upskilling opportunities. Peer recognition platforms and EAP.