Data Engineer

Job Summary We are looking for 4-5 years of experience as a Data Engineer with strong expertise in Spark (PySpark), SQL, and data pipeline architecture. The role involves designing, building, and optimizing scalable data workflows to support analytics and real-time insights. The ideal candidate is hands-on, detail-oriented, and enjoys building reliable data solutions while collaborating with cross-functional teams. Job Requirements Strong expertise in Spark (PySpark) and SQL Experience in designing and building data pipelines Understanding of AI concepts Good communication and collaboration skills Experience with streaming tools like Kafka/Kinesis Proficiency in Python, with exposure to Databricks or Azure Familiarity with Airflow/NiFi, Debezium, HTAP systems, or logistics domain is a plus Job Responsibilities Design and architect scalable data pipelines for batch and real-time processing. Develop and optimize data solutions using Spark (PySpark) and SQL. Ensure data pipelines are reli...