Lead Engineer

TITLE:

Key Skills:

Work Schedule:

Job Summary:

Key Responsibilities:

• Develop and maintain Azure Data Engineering solutions to support business requirements.
• Lead and mentor a team of 5+ data engineers to ensure timely and quality delivery of data engineering projects.
• Design and implement ETL pipelines using Databricks and PySpark.
• Write and optimize SQL queries for data extraction, transformation, and loading.
• Collaborate with cross-functional teams to integrate data across multiple platforms.
• Ensure best practices in data security, governance, and quality.
  

Must-Have Skills:

• Minimum 3 years of hands-on experience in Azure Data Engineering development projects.
• At least 2 years of experience in Databricks development.
• Minimum 2 years of experience working with PySpark.
• Minimum 2 years of experience with SQL, with strong proficiency in writing and optimizing SQL queries.

• Proven experience (2+ years) leading a team of 5 or more members in data engineering delivery.

• Excellent communication skills with fluency in English.
  

Good to Have Skills:

• Experience with Azure Synapse Analytics.
• Experience working with data visualization tools like Tableau and Power BI.