Description

You will design and develop big data applications and data warehousing solutions within a Google Cloud Platform environment.

This role is on-site.

Responsibilities

• Design and implement big data applications using Spark and Hive.
• Develop and maintain data warehousing architectures and SQL-based solutions.
• Manage software development lifecycles using CI/CD pipelines and automated test frameworks.
• Utilize DevOps tools and source code management to ensure reliable deployments.

Required Skills

• 8+ years of experience in data engineering or related roles.
• Expert-level SQL and deep understanding of data warehousing concepts.
• Hands-on experience with public cloud data warehouses including GCP, Azure, or AWS.
• Proficiency in Python or Java.
• Experience with Big Data frameworks such as PySpark and Hive.
• Working knowledge of CI/CD, Jenkins, Git, Maven, and XLR.
• Experience with DevOps practices and automated testing.

Preferred Skills

• GCP certification.

Key Skills

Education

Any Graduate