Data Engineer (38493)

Looking for a challenging Data Engineer role with a focus on strategic client relationships, hands-on technology, and AI applications? Then this might be the perfect opportunity for you. You'll be working with cutting-edge technologies like AWS, Azure, GCP, SQL, Python/PySpark, and Databricks on high-volume data projects. You'll take the lead in client digital transformation, providing consultation on critical data issues while working with cross-functional teams. Essential skills include Python/PySpark, SQL, major cloud environment experience, and knowledge of Teradata. Get ready to make a real impact, apply today.

🚀 Project
- building strategic relationships with clients and providing consultations on key data topics
- working with advanced technologies like AWS, Azure, GCP, SQL, Python/PySpark, and Databricks to tackle large-scale data processing, cost and performance optimization
- preparing clients for AI and data use cases by leveraging expertise in data engineering and data science across industries such as banking, insurance, manufacturing, pharmaceuticals, and retail
- managing end-to-end data solutions
- collaborating with cross-functional teams

🎯 Skills
- deep and proven knowledge of Python/PySpark and SQL
- experience working in at least one of the major global cloud environments, such as AWS, Azure, or GCP
- experience with large databases, data models, or data integration/migration projects from on-premise to the cloud, including hands-on experience with Teradata
- experience in leading clients through digital transformation projects and effectively addressing their needs

💡 Nice to have
- experience with data specific to one or more of the following sectors: finance, insurance, retail, manufacturing or pharmaceuticals
- experience with Databricks