Engineering Manager - Data Engineering

Responsibilities

• Lead and mentor data engineers building solutions on Azure Data Lake, Synapse, Data Factory, and Databricks using Python.
• Architect and oversee the development of scalable data pipelines, ensuring performance, security, and data integrity.
• Collaborate with product, analytics, and engineering teams to deliver business-driven data platforms and BI/ML solutions.
• Enforce best practices in ETL design, data integration, big data processing, and cloud DevOps (CI/CD).
• Optimize and monitor workflows for efficiency and reliability, including troubleshooting, tuning, and documentation.
• Stay current on industry trends and foster a culture of innovation and continuous improvement.
• Support client engagements, translating business needs into technical requirements and successful project delivery.
  

Requirements

• Bachelor's or Master's Degree in Computer Science or related field.
• 5+ years of experience in data engineering with team leadership exposure.
• Expert in Azure cloud services and advanced Python scripting (PySpark, data automation).
• Proficient with SQL, data warehousing, and scalable architecture designs.
• Strong understanding of DevOps practices, CI/CD pipelines, and cloud deployments.
• Excellent communication, project management, and client interaction skills.
  

Desired Skills

• Azure Data Factory, Synapse, Databricks, Blob Storage.
• Python (including PySpark), SQL, big data frameworks (Spark).
• Cloud DevOps (GitHub, Docker, Terraform).
• Data security and governance frameworks.
• Agile leadership and cross-functional collaboration.