The Worker is responsible for developing, maintaining, and optimizing big data solutions using the Databricks Unified Analytics Platform.
This role supports data engineering, machine learning, and analytics initiatives within this organization that relies on large-scale data processing.
Duties include:
CANDIDATE SKILLS AND QUALIFICATIONS:
Minimum requirements include 4 years experience implementing ETL/ELT workflows, automating deployments using CI/CD tools, collaborating with cross-functional teams, designing and maintaining data models, evaluating data storage solutions including data lakes and warehouses, implementing data validation and quality checks, contributing to data governance initiatives, implementing data security measures including encryption and auditing, proficiency in Python and R, strong SQL skills, experience with Azure cloud and DevOps, working in agile environments, and strong troubleshooting skills. Preferred include knowledge of ML libraries, Databricks Certified Associate Developer, and Azure Data Engineer Associate certifications.
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