Description

Responsibilities:
Lead and mentor a team of technical professionals, fostering a collaborative and high performance culture.
Design and implement data processing solutions using Azure Databricks, ensuring scalability and efficiency.
Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
Oversee the development lifecycle, from planning and design to deployment and maintenance.
Conduct code reviews and provide constructive feedback to team members to ensure code quality and adherence to best practices.
Stay up to date with industry trends and emerging technologies related to Azure Databricks and data engineering.
Facilitate communication between technical and non technical stakeholders to ensure alignment on project goals.
Identify and mitigate risks associated with project delivery and team performance.

Mandatory Skills:
Proven expertise in Azure Databricks, including experience with Spark, data pipelines, and data lakes.
Strong programming skills in languages such as Python, Scala, or SQL.
Experience with cloud based data storage solutions, particularly Azure Data Lake Storage and Azure SQL Database.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Demonstrated ability to lead technical teams and manage multiple projects simultaneously.

Preferred Skills:
Familiarity with Azure DevOps for CI/CD processes.
Experience with machine learning frameworks and libraries.
Knowledge of data governance and compliance standards.
Strong analytical and problem solving skills.
Excellent communication and interpersonal skills.

Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
7 10 years of experience in data engineering, software development, or a related technical role.
Proven track record of leading technical teams and delivering successful projects.
Relevant certifications in Azure or data engineering are a plus

Key Skills

Education

Bachelor's degree