Senior Data Engineer

Job Description

JD Senior Data Engineer Job Location : Hyderabad We are looking for an experienced Data Engineer with 3+ years of expertise in Databricks, AWS, Scala, and Apache Spark to work with one of our leading Japanese automotive based Client in North America, where cutting-edge technology meets innovation. The ideal candidate will have a strong foundation in big data processing, cloud technologies, and performance tuning to enable efficient data management. You'll also collaborate with global teams, work with advanced cloud technologies, and contribute to a forward-thinking data ecosystem that powers the future of automotive engineering. Who Can Apply: Only candidates who can join immediately or within 1 week can apply. Ideal for those seeking technical growth and work on a global project with cutting-edge technologies. Best suited for professionals passionate about innovation and problem-solving Key Responsibilities: Architect, design, and implement scalable ETL pipelines for large data processing. Develop and optimize data solutions using Databricks, AWS, Scala, and Spark. Ensure high-performance data processing with distributed computing techniques. Implement best practices for data modeling, transformation, and governance. Work closely with cross-functional teams to improve data reliability and efficiency. Monitor and troubleshoot data pipelines for performance improvements. Required Skills & Qualifications: Excellent communication and ability to handle direct Client interactions. 2+ years of experience in Data Engineering. Expertise in Databricks, AWS, Scala, and Apache Spark. Strong knowledge of big data architecture, ETL processes, and cloud data solutions. Ability to write optimized and scalable Spark jobs for distributed computing.