Description

Design, build, and maintain scalable data architectures and ETL pipelines to support large-scale data processing.

Responsibilities

• Design, construct, and test scalable data management systems and ETL architectures.
• Integrate structured and unstructured data from multiple sources into unified systems.
• Build and maintain data warehouses and data lakes for efficient storage and retrieval.
• Automate manual processes and develop monitoring systems to ensure data integrity.
• Optimize the performance of ETL processes, databases, and pipelines to handle large volumes.

Required Skills

• 5+ years of experience in data engineering or a similar role.
• Proficiency in Snowflake and Snowflake SQL.
• Strong experience with Matillion ETL tools and processes.
• Hands-on experience with relational databases including MySQL and PostgreSQL.
• Experience with cloud platforms such as AWS and Google Cloud.
• Knowledge of data warehousing solutions like Redshift and BigQuery.
• Experience with data modeling and data architecture design.
• Degree in Computer Science, Engineering, Information Technology, or a related field.

Preferred Skills

• Programming experience with Python.

Key Skills

Education

Any Graduate