Quarry Consulting is looking for a Data Developer with extensive experience in Python and data analytics.

Contract: 1 year

Location: Remote within Canada

Requirements:

• Data warehousing experience with dimensional and data vault data models.
• Proficient in SQL, PL/SQL, and Python
• Hands-on experience creating data pipeline ETL jobs using AWS Glue with PySpark.
• Creating and testing pipeline jobs locally using AWS glue interactive session.
• Efficient in using PySpark Data frame API and Spark SQL.
• Performance tuning of PySpark jobs.
• Using AWS Athena to perform data analysis on Lake data populated into AWS glue data catalog through AWS glue crawlers.
• Knowledge of AWS services e.g. DMS, S3, RDS, Redshift, Step Function.
• ETL development experience with tools e.g. SAP BODS, Informatica.
• Efficient in writing complex SQL queries to perform data analysis.
• Good understanding of version control tools like Git, GitHub, TortoiseHg.