Data Engineer

📋 Description

• Capable of gathering and comprehending business requirements, translating them into a practical data warehouse strategy.

• Proficient in multi-dimensional and tabular design patterns, with the ability to identify solutions that utilize these modeling techniques.

• Skilled in working within the SDLC framework across various environments, with an understanding of the complexities and dependencies of the data warehouse developed under those constraints.

• Competent in defining and implementing best practices for database design and ETL processes.

• Able to oversee the work of others, including directing ETL development, demonstrating a strong grasp of key ETL/ELT concepts, and adhering to best practices for optimization and scheduling.

⛳️ Requirements

• Demonstrated knowledge of Data Warehousing, Data Architecture, and Business Intelligence.

• Experience in data pipelines and architecture/engineering.

• Familiarity with modern applications and data platforms.

• Experience in implementing cloud-based projects.

• Proficiency in Python or Java is advantageous.

• Minimum of 4 years in BI/Data Warehousing.

• At least 2 years of experience with cloud platforms.

• A minimum of 4 years in ETL processes.

• At least 4 years of SQL experience.

• Expertise in Data Modeling.

• Knowledge of Data Vault Modeling.

• Experience in the healthcare sector is a plus.

🏝️ Benefits

• Eligible for Medical.

• Dental.

• Vision.

• 401(k).

• Training and certification reimbursement.

• Flexible time off in accordance with company policies.