Job Description
- Lead the design, development, and maintenance of reliable, scalable data pipelines and ETL processes using tools such as SnapLogic, Snowflake, DBT, Fivetran, Informatica, and Python.
- Work closely with data scientists to understand model requirements and prepare the right data pipelines for training and deploying machine learning models.
- Collaborate with data scientists, analysts, and business teams to understand and optimize data requirements and workflows.
- Apply Power BI, Spotfire, Domo, Qlik Sense to create actionable data visualizations and reports that drive business decisions.
- Implement standard methodologies for version control and automation using Git Actions, Liquibase, Flyway, and CI/CD tools.
- Optimize data storage, processing, and integration bringing to bear AWS Data Engineering tools (e.g., AWS Glue, Amazon Redshift, Amazon S3, Amazon Kinesis, AWS Lambda, Amazon EMR).
- Troubleshoot, debug, and resolve issues related to ...
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