Data Engineer

Customer:

• Our customer is a leading pet marketplace with a strong online presence.
• They offer an extensive catalog of pet products including food, accessories, and healthcare.
• They focus on customer satisfaction and innovation to expand E-commerce capabilities.

Project:

• The project builds scalable data solutions for a high-traffic E-commerce platform.
• The team develops modern data pipelines and streaming systems using cloud-native architectures.
• The environment combines large-scale data processing with real-time streaming and cloud infrastructure.

Job Description:

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data processing solutions using Python and Apache Spark.
• Develop and support real-time data streaming applications using Kafka.

Qualifications:

• 4+ years of experience as a Data Engineer.
• Strong experience with Python, Apache Spark, Snowflake, and AWS.
• Experience with ETL/ELT pipelines, Kafka, and event-driven architectures.