Senior Databricks Data Engineer – Hadoop Migration (1 Year contract)

*** YOU MUST UPLOAD YOUR RESUME IN MS WORD FORMAT TO BE CONSIDERED*** We are seeking a Senior Databricks Data Engineer for a 12-month project with a financial services client, focused on migrating an on-prem Hadoop environment to Databricks. Start: Mid-September Duration: 12 months Location: Remote Hours: Must work U.S. Eastern Time business hours (4pm - 1am IST) Responsibilities * Migrate data, pipelines, and workloads from Hadoop/Hive/HDFS to Databricks. * Build and migrate pipelines using Spark/PySpark, Python, SQL, and Delta Lake. * Refactor Hadoop workloads as needed for efficient execution on Databricks. * Perform data validation, performance tuning, and troubleshooting. * Implement Databricks governance and data engineering best practices. Required Skills * 6+ years of Data Engineering experience with strong hands-on Databricks experience. * Strong Spark/PySpark, Python, SQL, Delta Lake, Hadoop, Hive, and HDFS skills. * Experience with Hadoop-to-Databricks or large-scale cloud data migrations. * Experience with newer Databricks capabilities including Unity Catalog, Lakeflow Declarative Pipelines, Lakeflow Jobs/Workflows, Auto Loader, Liquid Clustering, Serverless Compute, and Databricks SQL. * Strong communication skills and ability to work U.S. Eastern Time business hours. * Databricks certifications. Nice to Have * Financial services/banking experience. This is a hands-on Data Engineering role focused on Hadoop-to-Databricks migration. *** YOU MUST UPLOAD YOUR RESUME IN MS WORD FORMAT TO BE CONSIDERED***