Location: Elmwood Park,NJ, USA
Data Engineer
Elmwood Park, NJ (Hybrid, 3 days on-site per week)
RedStream Technology is recruiting for a Data Engineer to work with our client, a leading mdeical services provider. The Data Engineer needs to be proficient with Matillion, Snowflake, and dbt in a hybrid Azure cloud environment. This role involves designing, implementing, and managing secure and efficient data solutions that support our advanced analytics and data science initiatives.
Responsibilities:
Design and build scalable and efficient data pipelines using Matillion, Snowflake, and dbt within Azure cloud architecture.
Manage data workflows and transformations, ensuring data integrity and availability for analytics and business intelligence uses.
Develop, maintain, and optimize data models in Snowflake, supporting high-performance queries and data analysis.
Utilize dbt to manage data transformation workflows and ensure data quality and consistency across all platforms.
Collaborate with data scientists, analysts, and other stakeholders to gather requirements and deliver data solutions that support organizational objectives.
Implement monitoring, logging, and alert systems to ensure performance and availability of data infrastructure.
Document all data engineering processes, models, and schemas in a clear and concise manner.
Maintain data security and compliance according to industry standards and regulatory requirements.
Qualifications:
Bachelor s degree in Computer Science, Data Science, Engineering, or a related field. Master s degree preferred.
Minimum of 3 years experience in data engineering, with expertise in Matillion, Snowflake, and dbt.
Strong proficiency in SQL and experience with Azure cloud services.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Experience building and optimizing big data data pipelines, architectures, and data sets.
Problem-solving skills and ability to work under tight deadlines.
Excellent interpersonal and communication skills.
Additional Skills:
Experience in the healthcare or biotechnology sector is highly advantageous.
Familiarity with other ETL tools, BI technologies, and data integration strategies is desirable.