- Migrate existing SSIS
ETL scripts to Python; develop new
ETL scripts - Support existing SSIS SQL Projects
- Maintain
ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL - Write SQL queries against Snowflake.
- Understanding data pipelines and modern ways of automating data pipeline using cloud-based
- Work closely with existing senior integration staff to flush out design, priority and build.
- Scaffolding and framework will be needed for staging and transforming datasets.
- Use existing DevOps pipeline for Python and enhance if necessary.
- utomate Python scripts on our enterrprise scheduler.
- t least 5 years of full-time development experience using Python.
- Designing and implementing highly performant data ingestion pipelines from multiple sources using Azure Databricks.
- Direct experience of building data piplines using Azure Data Factory and (preferably Databricks).
- Extensive experience in software development and the entire SDLC.
- Solid understanding of a variety of programming tools and development platforms.
- Experience in creating high-level product specifications and design documents.
- Experience in writing Python applications with the benefit of frameworks like Django, Flask, Pyramid, or Tornado.
- Experience in Python testing and code analysis tools like Pytest and Pylint.
- Integration experience (ETL, ELT) with Python.
- Strong SQL skills.
- Familarity with SSIS would be helpful.
- General development expertise, use of version control, ticketing, and continuous integration systems.
- Experience in using an Enterprise Scheduler (Tidal)
- Experience in an Agile Development environment
-
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ETL Developer - New York, United States - Creative Data Resources
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
Onsite/remote schedule - 2 days/week onsiteSkills:
Skills
Keywords:
Education:
Bachelors degree in Computer Science or Finance Skills and Experience:
Required Skills:
DATABASE
DATA MODELING
ETL
DATABASE MODELING
DATA WAREHOUSE