Description

You will build and maintain data processing pipelines and geospatial applications in a hybrid environment.

Responsibilities

• Implement data processing pipelines using Scala, Python, and Spark to manage large geospatial datasets.
• Manage and automate batch processing workflows using Control-M Batch Operations.
• Develop geospatial applications using Java to meet specific project requirements.
• Leverage Azure Databricks for advanced data analytics and machine learning tasks.
• Conduct code reviews, troubleshoot technical issues, and provide technical guidance to junior developers.

Required Skills

• 7 to 9 years of professional experience in data engineering or related roles.
• Proficiency in Python, Scala, and Java.
• Hands-on experience with Spark and Azure Databricks.
• Strong SQL and Big Data expertise.
• Experience with Control-M Batch Operations.
• Ability to write Shell scripts.
• Any Graduate degree.

Key Skills

Education

Any Graduate