Key Responsibilities

• Lead and manage end-to-end data engineering projects, ensuring timely delivery and alignment with business goals.

• Oversee the design, development, and optimization of ETL/ELT pipelines using Databricks, SQL, and Python.

• Coordinate project plans, milestones, and resources across cross-functional teams.

• Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.

• Ensure data quality, governance, and compliance across platforms.

• Monitor project progress, manage risks, and troubleshoot performance issues.

• Mentor and guide junior engineers, fostering best practices in development, testing, and automation.

• Manage project documentation, reporting, and communication with senior leadership.

Required Qualifications

• 7+ years of experience in data engineering with strong exposure to project management.

• Proficiency in SQL, Python, and automation for data transformation and workflow optimization.

• Hands-on experience with Databricks, Snowflake, and Azure cloud services (Data Lake, Data Factory, Azure Functions).

• Strong knowledge of data modeling, warehousing, and ETL/ELT best practices.

• Demonstrated ability to manage cross-functional teams and complex projects.

• Familiarity with version control, CI/CD, and agile methodologies.

• Excellent communication, problem-solving, and stakeholder management skills.