SDE III

<h3>📋 Description</h3> • Own core data ingestion and transformation pipelines across streaming and batch systems • Work on both greenfield projects and robust production systems • Dive into technologies like Spark, Kafka, Airflow, Delta Lake, Teradata, BigQuery, and Hive • Solve real business problems for marketing, finance, supply chain, and more • Be part of a flexible, supportive, and growth-oriented engineering culture • Design, develop, and maintain high-performance, high-volume ETL pipelines (batch and streaming) • Build and optimize cloud-based data platforms on AWS and GCP • Partner with cross-functional teams to define requirements and implement scalable solutions • Mentor junior engineers and contribute to a collaborative, inclusive team culture • Own data quality, lineage, monitoring, and production support for critical pipelines • Participate in on-call rotations and agile delivery cycles <h3>🎯 Requirements</h3> • BS/MS in Computer Science or related field • 5+ years in data engineering, distributed systems, or backend development • Strong coding skills in Python, Java, or Scala • Deep SQL knowledge and experience with both relational and NoSQL databases • Proven expertise in big data frameworks like Spark, Hive, Kafka, and Airflow • Experience building and supporting production-grade data platforms • Strong communication skills and ability to thrive in a globally distributed team • Experience with cloud data technologies (AWS or GCP, especially for large-scale processing) • Ownership mindset and ability to operate independently with minimal supervision • Familiarity with HBase, Redis, CDC (Change Data Capture) tools • Experience with Google Data Streams, Dataproc, Delta Lake, or Apache Hudi • Background in monitoring tools like Elasticsearch and Wavefront • Experience in a dynamic, multi-time-zone engineering environment