Data Engineer (Databricks)

Hi, Please find the requirement below, If you find yourself comfortable with the requirement please reply with your updated resume and I will get back to you Job Title: Senior Data Engineer (Tech Lead) Databricks / Azure Location: Remote Duration: Contract through December 2026 Visas: L2 (least priority) Working hours: (8am 5pm or 9am 6pm) EST Seeking a Senior Data Engineer / Tech Lead to support enterprise data initiatives, focusing on building and optimizing scalable data pipelines within the

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Position Title : Pyspark Data Engineer with Databricks Location : New York, NY (Onsite/Hybrid) Experience : 8+ Years Employee Type : Full Time with Benefits Note :- Must be comfortable to attend In Person Interview at New York Location Job Description We are looking for a hands-on midsenior level PySpark Data Engineer with Databricks who can design, build, and own production-grade data pipelines and platform components. This role requires strong expertise in Python/PySpark, Databricks, and Sn

Databricks Data Engineer Responsibilities: Assist with leading the team's transition to the Databricks platform and utilize the newer features of Delta Live Tables, Workflows etc. Design and develop data pipelines that extract data from Oracle, load it into the data lake, transform it into the desired format, and load it into Databricks data lakehouse. Optimize data pipelines and data processing workflows for performance, scalability, and efficiency. Implement data quality checks and validation