Our client, a leader in the healthcare industry, is looking for a Data Engineer to assist with converting SAS datasets to Parquet.
The client is ndergoing a transformational project to move to an open-source analytical environment – using R and Python. A component of this project is to convert CIHI’s analytical data assets from SAS database format to Parquet.
Advantages
- 6 month contract that can be done 100% remotely and has a strong potential to renew
Responsibilities
Services:
- Converts historical data from SAS database to Parquet.
- Works closely with internal teams to develop and transition ongoing production process of analytical assets (currently coded in SAS and stored as SAS datasets) to be coded using Python (leveraging Pyspark) and stored in Parquet.
- Recommends improvements and enhancements to conversion processes and ongoing production of analytical assets.
- Prepares documentation required related to the results of the conversion (e.g. differences in converted data that will impact use by analysts).
- Evaluates all work is completed in compliance with Privacy and Security Policies and Procedures and migration project practices.
- Meets timelines and milestones by monitoring deliverables. Identifies, reports and helps solve potential risks and issues.
- Coaches and mentors internal staff in data conversion techniques.
Qualifications
SKILLS REQUIRED
Application Development: Git - 3 - 5 years
SQL- 3 - 5 years
Informatica - Data Engineering (a.k.a. BDM) 5+ years
Python - 5+ years
Core Skills and Processes - Jupyter Notebooks (IDE) - 3+ years
Apache Spark - 5+ years
Apache Parquet - 5+ years
Summary
SKILLS REQUIRED
Application Development: Git - 3 - 5 years
SQL- 3 - 5 years
Informatica - Data Engineering (a.k.a. BDM) 5+ years
Python - 5+ years
Core Skills and Processes - Jupyter Notebooks (IDE) - 3+ years
Apache Spark - 5+ years
Apache Parquet - 5+ years
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