The Hands-On Data Engineering Lead is responsible for leading a team of data engineers in 
the design, development, and implementation of data pipelines and data warehouses. The 
ideal candidate will have a strong understanding of data engineering principles and 
practices, as well as experience with SQL Server SSIS. The Hands-On Data Engineering Lead 
will also be responsible for managing the team's workload, mentoring junior engineers, and 
communicating with stakeholders. Additionally, the Hands-On Data Engineering Lead will be 
expected to be hands-on with the development and implementation of data pipelines and data 
warehouses, and to have experience working with stakeholders to develop product backlog 
grooming, sprint planning data engineering and QA Testing.

Responsibilities:

·         Lead the design, development, and implementation of data pipelines and data 
warehouses

·         Develop and implement data pipelines and data warehouses using SQL Server SSIS

·         Troubleshoot data pipelines and data warehouses

·         Communicate with stakeholders to understand their needs and ensure that projects 
meet their requirements

·         Manage the team's workload and ensure that projects are completed on time and 
within budget

·         Mentor junior data engineers and help them develop their skills

·         Stay up-to-date on the latest data engineering technologies and best practices

·         Provide support to production teams and QA teams

·         Work with stakeholders to develop product backlog grooming, sprint planning data 
engineering and QA Testing

·         30% team management and 70% hands-on

 

Qualifications:

·         experience in data engineering

·         experience managing a team of data engineers.

·         Strong understanding of SQL Server SSIS, Active Batch, T-SQL & GoAnywhere.

·         Excellent communication and interpersonal skills

·         Strong desire to be hands-on with the development and implementation of data 
pipelines and data warehouses.

·         Experience working with stakeholders to develop product backlog grooming, sprint 
planning data engineering and QA Testing