What are the responsibilities and job description for the Sr. DataTransformation Engineer position at IrisLogic, Inc?
Job Details
Strong programming skills in Snowflake, Python, AirFlow, DBT, Linux
- Strong server-side programming experience with automation and backend support.
- Experience with Snowflake.
- VERY IMPORTANT SKILL- Strong skills in working with Opensource technologies, Database technologies, micro service architecture, cloud-native development, continuous build, continuous integration and continuous deployment.
- Ability to work effectively with end users to define requirements.
- Experience designing and building cloud-native applications using microservices architecture.
- Hands-On experience with Kafka and overall use for developing an Event driven architecture model
- Experience in Domain Driven Design.
- Experience with continuous integration and collaboration tools like JIRA, Bitbucket, GitHub, and Confluence.
- Experience with building Data pipelines to Snowflake.
Specific Technical Responsibilities:
- Overall (applies to all technology platforms listed below):
- Provide production support for several data analytics solutions used every day
- Ability to perform as a technical lead in addition to being a contributing developer
- Code review of other teams members
- Create and enhance data architecture models
- Ability to troubleshoot and identify root causes for a variety of production and data issues
Snowflake:
- Data transformation (ETL)
- Write Snowflake SQL including stored procedures and complex queries involving CTEs and temp tables
- Help design data models for new data to be ingested
- Snowflake SQL performance tuning
- Help complete migration of existing SQL Server based Data Vault into Snowflake
- Continue to support and work on future enhancements for Snowflake Data Vault
- Data ingestion (familiarity with Python and Kafka connectors is a nice to have but not necessarily required)
- Python/Linux
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