Description

Engineer and manage large-scale data systems, including ETL/ELT pipelines, data warehouses, and data lakes.

This role is on-site.

Responsibilities

• Design and maintain ETL/ELT pipelines for large-scale data processing.
• Build and manage data models, warehouses, and lakes.
• Integrate data from databases, APIs, and streaming platforms.
• Ensure data quality, consistency, and reliability across systems.
• Monitor and improve pipeline performance and scalability.

Required Skills

• 15+ years of experience in data engineering.
• Strong proficiency in SQL and data modeling concepts.
• Experience with ETL tools such as Apache Airflow.
• Hands-on experience with Python or Scala.
• Familiarity with big data technologies: Hadoop, Spark, Hive, or Kafka.
• Experience with cloud data platforms: Snowflake or BigQuery.
• Proficiency with Git and Docker.

Preferred Skills

• Kubernetes experience.

Key Skills

Education

Bachelor's degree