Senior Azure Data Engineer: Lead Cloud Migrations (Remote)

Cognizant; Bayonne (NJ); Remote; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

A leading IT services firm is seeking a Sr. Azure Data Engineer to drive end-to-end data integration and migration initiatives across enterprise data platforms. This remote position requires 10+ years of data warehousing and ETL experience, with strong expertise in Informatica, Teradata, and Azure tools. You will be responsible for leading projects and ensuring data quality. A competitive salary and benefits package is offered.

Qualifications

• 10+ years of experience in Data Warehousing and ETL development.
• Strong expertise in Informatica PowerCenter, Teradata, SQL Server, Azure Synapse, and Azure Data Factory.
• Proven experience leading teams and managing end-to-end data migration projects.
• Proficiency in Unix/Shell scripting and performance tuning for large-scale data systems.
• Excellent analytical and programming skills.

Responsibilities

• Lead planning, analysis, development, testing, and migration activities for data warehousing and cloud-based projects.
• Design and orchestrate data architecture and workflows.
• Implement ETL processes and optimize performance across environments.
• Develop and maintain Azure Data Factory pipelines.
• Ensure data quality and integrity.

Skills

Informatica PowerCenter

Teradata

SQL Server

Azure Synapse

Azure Data Factory

Unix/Shell scripting

Data Warehousing

ETL development

Job description

A leading IT services firm is seeking a Sr. Azure Data Engineer to drive end-to-end data integration and migration initiatives across enterprise data platforms. This remote position requires 10+ years of data warehousing and ETL experience, with strong expertise in Informatica, Teradata, and Azure tools. You will be responsible for leading projects and ensuring data quality. A competitive salary and benefits package is offered.