We are seeking a Data Engineer to build and maintain our data pipelines and infrastructure. You will be responsible for designing, developing, and testing ETL processes, as well as managing our data warehouse and data lake. Experience with Spark, PySpark, Snowflake, and cloud platforms (Azure/AWS/GCP) is essential.

Key Responsibilities:

• Design and develop ETL processes using Spark and PySpark.
• Manage data warehouse and data lake.
• Implement data quality checks and monitoring.
• Optimize data pipelines for performance and scalability.
• Work with cloud platforms such as Azure, AWS, and GCP.

Required Skills:

• Spark
• PySpark
• Snowflake
• Azure/AWS/GCP