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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain data pipelines and structures to enable data ingestion, standardization, transformation, and reporting.
Manage data storage solutions on-premises and cloud platforms including API development for data access and integration with Kubernetes, Teradata, and Databricks.
Collaborate with partners to optimize data processing rules, maintain data quality, support data governance, manage migrations, and support analytics and ML initiatives.
Minimum Requirements
Bachelor's degree or equivalent combination of coursework and experience.
2-5 years of relevant work experience in data engineering or related roles.
Experience with data platforms such as Kubernetes, Teradata, Databricks, AWS S3, Redshift, and data storage tools like minIO.
Ability to work nights and weekends with a variable schedule as necessary.
Ideal Candidate Profile
Experienced in designing and monitoring ETL processes and managing data warehouses and lakes.
Skilled in developing ingestion frameworks and API integrations for data consumption in multi-platform environments.
Capable of independently handling data governance, troubleshooting data lineage and transformation, and collaborating to optimize data sourcing and processing.