Data Engineer (Reference Data, Python, Spark, Kafka, and Snowflake, Banking Domain)

Proven experience in building and maintaining data pipelines, especially using Kafka, Snowflake, and Python. Strong expertise in distributed data processing and streaming architectures. Experience with Snowflake data warehouse platform: data loading, performance tuning, and management. Proficiency in Python scripting and programming for data manipulation and automation. Familiarity with Kafka ecosystem (Confluent, Kafka Connect, Kafka Streams). Knowledge of SQL, data modeling, and ETL/ELT processes. Understanding of cloud platforms (AWS, Azure, Google Cloud Platform) is a plus.