Data Engineer

We are seeking a highly skilled Senior Data Engineer to join a growing Corporate Data & Analytics team supporting enterprise-wide Analytics, Data Science, and AI initiatives. This is an exciting contract opportunity for someone who thrives in fast-paced environments and enjoys solving complex large-scale data challenges. Responsibilities Lead the design, development, and operation of scalable data systems and pipelines from concept through production Partner with cross-functional teams to deliver reliable and high-quality data solutions Collaborate with platform and infrastructure teams on migration and integration initiatives Build and optimize reliable batch and real-time data pipelines Improve system reliability through monitoring, incident response, root cause analysis, and long-term optimization Design and maintain semantic models and data assets to support self-service analytics Drive architectural improvements that reduce complexity and operational overhead Create technical documentation and standards to support scalability and knowledge sharing Requirements 10+ years of experience in Data Engineering or Data Platform development Strong hands-on experience with: Databricks Snowflake AWS Python SQL Experience with big data technologies including Spark, Trino, Hive, and cloud storage systems Familiarity with orchestration frameworks like Airflow and BI/semantic layer tools such as ThoughtSpot or Cube Strong understanding of CI/CD, automation, testing, and DevOps best practices Experience with graph/vector databases, conversational analytics, or agentic AI applications is a plus Preferred Background Bachelor’s degree in Computer Science, Engineering, or equivalent hands-on experience