Description

You will own data processing workflows and cloud-based data management projects, from deployment to optimization.

This role is on-site.

Responsibilities

• Deploy data management projects within cloud environments.
• Develop data pipelines using Spark and Python.
• Write advanced SQL queries, functions, and stored procedures.
• Optimize data processing costs and system performance.
• Build accelerators to streamline ETL processes.

Required Skills

• Expert-level proficiency in Python and Spark.
• Advanced SQL programming, including complex queries and procedures.
• Experience with ETL processes and Glue.
• Proven track record of cloud project deployment in data management.
• Experience in processing cost and performance optimization.
• Working knowledge of data warehouse architectures.
• 2 to 8 years of relevant experience.

Preferred Skills

• Experience building custom accelerators for data workflows.

Key Skills

Education

Any Graduate