Data Engineer

Overview
Client is seeking a Data Engineer to develop maintain test and debug software and data integration solutions in both traditional and cloud-based environments. This role focuses on building and supporting scalable applications data pipelines and modern data platform solutions using technologies such as Azure Data Factory Snowflake Oracle Microsoft and related tools.
The position involves designing and maintaining ETL/ELT processes defining system requirements through research and analysis preparing detailed technical specifications and ensuring reliable high-quality data integration solutions that support business needs.

Core Responsibilities
Develop maintain test debug document and support software applications and data integration solutions across traditional and cloud environments.
Design build and optimize scalable ETL/ELT pipelines and data processing solutions using modern cloud data platforms.
Formulate and define system scope objectives and technical requirements through research analysis and fact-finding.
Prepare detailed specifications data mappings and technical documentation for application and data integration development.
Develop and support cloud-based data pipelines and storage solutions utilizing Azure Data Factory and Azure Data Lake Storage.
Design implement and maintain Snowflake-based data solutions including streams tasks and pipeline processing.
Monitor troubleshoot tune and support production data environments to ensure performance reliability and data integrity.
Collaborate within development and data engineering workflows using Git CI/CD processes and Azure DevOps.

Essential Qualifications Skills and Technologies
Experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) for cloud-based data pipelines and storage.
Strong knowledge of Snowflake architecture including streams tasks and pipeline processing.
Experience with data ingestion tools such as Fivetran and HVR and data transformation using dbtLabs.
Understanding of batch and near real-time data integration patterns.
Ability to design implement and support scalable cloud data architecture.
Experience with Git CI/CD practices and Azure DevOps in data engineering environments.
Experience documenting ETL designs data mappings and technical architecture.
Knowledge of data integrity governance lineage production monitoring and performance tuning.
Experience working with technologies such as PL/SQL Oracle Microsoft Azure Data Factory Snowflake and related data platform tools.

Nesco Resource offers a comprehensive benefits package for our associates which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical Vision Dental 401K and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.