Lead I - Data Engineering

Job description Data Engineer - Job Description We are seeking a skilled Data Engineer with strong expertise in PySpark and Databricks to design, develop, and maintain scalable data pipelines. Role Scope / Responsibilities: Design and develop new data pipelines in Databricks Support and maintain existing data pipelines in Databricks Monitor and resolve day-to-day job failures and performance issues Ensure data pipelines are optimized for performance and scalability Work independently while collaborating with cross-functional teams as required Key Skills & Qualifications: Minimum 8 years of overall experience in Data Engineering Strong hands-on experience in PySpark and Databricks (minimum 5+ years) Experience working with cloud platforms (AWS/Azure - preferably AWS) Good understanding of data pipeline design and performance optimization Excellent communication skills Ability to work independently and handle production support activities Mandatory Skills: PySpark Databricks Skills data engineering , pyspark , databricks , cloud platforms, Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.