Data Engineer Snowflake, Azure Data Factory
24 hours ago
Location: Hyderabad | Chennai | Remote Flexibility Possible
Type: Contract | Duration: 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.
KeyResponsibilitiesBuild 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
RequiredSkills7+ 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
NiceToHaveExperience with Data Lakes and Data Vaults
QA & UAT alignment with clear development documentation
Multi-cloud experience (especially Azure, AWS)  
Role: Data Engineer Contract
Duration: 6 Months
Location Options: Hyderabad / Chennai (Remote flexibility available)
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