Data Engineer
Data Engineer
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1 Vacancy
Job Description
Collaborate with IT and BI teams to ensure that data models and pipelines are designed for availability scalability maintenance and accuracy.
Tackle complex data integration challenges by applying ETL frameworks advanced querying techniques and sourcing from both structured and unstructured data.
Effectively communicate data models and datasets to data scientists and analysts in clear accessible terms providing comprehensive documentation and support to facilitate their usage.
Develop data quality standards and data governance processes that enable data to be used across the enterprise.
Help build and enhance data capabilities across the organization by ensuring teams are equipped with the right data and the skills to effectively leverage it in their function contributing to the companys broader data-driven objectives.
Design develop and maintain robust data and machine learning workflows that support analytics reporting and business use cases.
Optimize test and debug Machine Learning workflows and pipelines in a cloud environment.
Help create and enforce engineering best practices including CI/CD pipelines testing protocols code reviews and version control standards.
Build and maintain well-documented structured data models that enable efficient data science and analytics experimentation.
Continuously monitor and optimize data pipeline performance to ensure efficiency data quality reliability and security.
Qualifications :
3 years of industry experience in software development data engineering business intelligence data science or a related field. Bonus if within the CPG industry.
Bachelors or masters degree in computer science engineering mathematics or a related technical discipline preferred
Experience with data modeling cloud data warehousing (Snowflake or Databricks) and building ETL pipelines using tools like dbt Glue dagster or Airflow. Bonus: youve experience preparing data for machine learning model training and real-time use cases.
Proficiency in SQL and Python coding languages with experience building robust ETL/ELT pipelines. Experience with R is a bonus.
Experience applying software development practices to data engineering (CI/CD Version Control testing frameworks)
Experience working with a cloud-based service such as AWS Azure or GCP.
Experience using big data technologies.
Knowledge of data management fundamentals and data storage principles.
Additional Information :
This position is open to U.S. citizens U.S. permanent residents or individuals who are currently authorized to work in the United States on a valid visa.
The base salary range for this position is $116000 to $174000 cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.
Our current Benefits include:
Comprehensive Medical Dental and Vision Plans 401k Match Family Leave PTO & Paid Holiday Schedule Pet Legal and Life Insurance Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)
Red Bull North America Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability veteran status age or any other classification protected by Federal state or local law. We will consider for employment all qualified Applicants including those with Criminal Histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
