Description

You will design, build, and maintain backend data engineering systems, focusing on ETL pipelines and real-time streaming.

This role is on-site.

Responsibilities

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

Required Skills

• 5+ years of backend development experience with a focus 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 with S3 or similar object storage.
• Experience with data lake technologies like Iceberg.
• Solid understanding of data warehousing concepts.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Excellent communication and collaboration skills.

Key Skills

Education

Bachelor's degree