The Data Engineer role requires 7–9 years of data engineering experience and hands-on experience with Databricks, Delta Lake, notebooks, Databricks Workflows, Python, SQL, Apache Spark, and cloud data services such as AWS or Azure. The role also involves data modeling, Git, and CI/CD, with desirable exposure to streaming pipelines, orchestration tools, data governance, and business intelligence tools.
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