Data Engineer

Data Engineer (Contract | 6 Months)

We are seeking an experienced Data Engineer to join our team for a 6-month contract assignment. The ideal candidate will work on data warehouse development, ETL pipelines, and analytics enablement using Snowflake, Azure Data Factory (ADF), dbt, and other tools.

This role requires strong hands-on experience with data integration platforms, documentation, and pipeline optimizationespecially in cloud environments such as Azure and AWS.

#KeyResponsibilities
Build and maintain ETL pipelines using Fivetran, dbt, and Azure Data Factory

Monitor and support production ETL jobs

Develop and maintain data lineage documentation for all systems

Design data mapping and documentation to aid QA/UAT testing

Evaluate and recommend modern data integration tools

Optimize shared data workflows and batch schedules

Collaborate with Data Quality Analysts to ensure accuracy and integrity of data flows

Participate in performance tuning and improvement recommendations

Support BI/MDM initiatives including Data Vault and Data Lakes

#RequiredSkills
7+ years of experience in data engineering roles

Strong command of SQL, with 5+ years of hands-on development

Deep experience with Snowflake, Azure Data Factory, dbt

Strong background with ETL tools (Informatica, Talend, ADF, dbt, etc.)

Bachelor's in CS, Engineering, Math, or related field

Experience in healthcare domain (working with PHI/PII data)

Familiarity with scripting/programming (Python, Perl, Java, Linux-based environments)

Excellent communication and documentation skills

Experience with BI tools like Power BI, Cognos, etc.

Organized, self-starter with strong time-management and critical thinking abilities

#NiceToHave
Experience with Data Lakes and Data Vaults

QA & UAT alignment with clear development documentation
Multi-cloud experience (especially Azure, AWS)