Data Engineer

About the Role

Key Responsibilities

• Strong hands-on experience with Microsoft Fabric and Lakehouse implementations.
• Proven expertise in Azure Data Factory (ADF) for building and managing complex data pipelines.
• Proficiency with Azure Data Lake, Delta Lake, Azure Synapse Analytics, and Power BI.
• Solid understanding of data modeling, data warehousing concepts, and big data architecture.
• Experience with SQL, Python, or PySpark for data manipulation and transformation.
• Good knowledge of CI/CD pipelines for data workflows using Azure DevOps or similar tools.
• Familiarity with data governance frameworks, access control, and data security practices in Azure.
• Excellent problem-solving and communication skills.

Requirements

• Experience with Microsoft Fabric and Lakehouse implementations.
• Proficiency in Azure Data Factory (ADF).
• Knowledge of Azure Data Lake, Delta Lake, Azure Synapse Analytics, and Power BI.
• Skills in SQL, Python, or PySpark.
• Understanding of data modeling, data warehousing, and big data architecture.
• Experience with CI/CD pipelines and Azure DevOps.
• Familiarity with data governance, access control, and data security in Azure.
• Strong problem-solving and communication skills.

Benefits & Perks

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.