Description

You will develop and maintain scalable backend systems focused on data engineering.

Responsibilities

• Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
• Write efficient and optimized SQL queries for ETL processes.
• Implement data storage and processing solutions using AWS or GCP.
• Build and maintain real-time data streaming pipelines using MSK/Kafka.
• Ensure data quality, integrity, and security across data solutions.

Required Skills

• 5+ years of experience in back-end development focusing on data engineering.
• Strong proficiency in Spark, Python, Scala, and Java.
• Expertise in SQL and working with relational databases.
• Experience with cloud technologies, specifically AWS or GCP.
• Experience with message streaming platforms like MSK/Kafka.
• Experience managing data lake technologies such as Iceberg.
• Familiarity with S3 or similar object storage.
• Solid understanding of data warehousing concepts.
• Experience with CI/CD Pipelines.

Key Skills

Education

Bachelor's degree