Description

You will manage and optimize data workloads within the Google Cloud Platform ecosystem using Apache Druid.

Responsibilities

• Implement and maintain data processing pipelines using Apache Druid and Apache Airflow.
• Manage big data workloads across Google Compute Engine, BigQuery, and Cloud SQL.
• Develop and execute data orchestration tasks using Composer and GCS.
• Write and optimize complex SQL queries and Spark jobs for large-scale datasets.

Required Skills

• 5+ years of experience in data engineering roles.
• Hands-on expertise with Apache Druid framework.
• Deep knowledge of Google Cloud Platform (GCP) including BigQuery, Compute Engine, Composer, and GCS.
• Proficiency in Python and SQL.
• Experience with Spark and PySpark.
• Strong Linux and Shell scripting skills.
• Experience with GitLab and big data tools like Hive.
• Solid understanding of Cloud SQL and Teradata.
• Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) degree.

Key Skills

Education

B.E-Bachelor Of Engineering,