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