Senior Data Engineer

We are looking for a Senior Data Engineer with 5+ years of experience in building scalable, high-performance data platforms and cloud-based data solutions. The ideal candidate should have strong expertise in Python, SQL, Apache Spark (PySpark), and hands-on experience with AWS, Azure, or Google Cloud Platform (GCP). You will be responsible for designing and developing robust ETL/ELT pipelines, implementing batch and streaming data processing, optimizing Spark workloads, and ensuring data quality, reliability, and performance. The role involves building data lake, lakehouse, and data warehouse solutions, implementing orchestration and monitoring frameworks, and supporting production-grade data pipelines. You will collaborate with Analytics, AI/ML, and application teams to deliver trusted data products. Strong knowledge of data modeling, distributed processing, cloud architecture, and performance optimization, along with excellent analytical and problem-solving skills, is essential.