We are looking for an experienced Data Engineer with 3+ years of expertise in Databricks, AWS, Scala, and Apache Spark to join our team. 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.Company profile:ConnectedX: Empowering Tech Leaders with Tailored SolutionsKey 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. · 3+ 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.Who Can Apply: Only candidates who can join immediately or within 2 weekscan 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
Job Title
Senior Data Engineer