In this role, you will

• Lead the design, development, and maintenance of scalable and robust reusable data pipelines.
• Architect and implement data migration, data warehousing solutions and ETL/ELT projects.
• Champion the transformation and consolidation of legacy ETL tools.
• Ensure data quality, integrity, and security across various data systems.
• Drive data-driven decision-making and innovation across high-impact projects.
• Collaborate with the QA team to develop test strategies and automated test scripts.
• Oversee all aspects of the data delivery life cycle from discovery, analysis, design, development, testing to release planning and implementation of data systems.
• Guide and collaborate data developers and engineers to adhere to CI/CD and DevOps best practices.
• Partner with the Data Quality Assurance Team to ensure the highest quality standards are applied to every process within data engineering.
• Translate requirements into detailed functional and technical designs.
• Provide consultation for evaluating data and software systems.
• Ability to manage multiple competing projects and prioritize them effectively.
• Lead and collaborate with vendors as needed.

What we're looking for

• Bachelor's Degree in a field such as Engineering, Computer Science or equivalent
• Expert-level knowledge of SQL, Python, and Shell scripting.
• Expert-level knowledge of Snowflake and Microsoft SQL Server
• Experience with Node.js. and .Net
• Expert-level knowledge of ETL and API development.
• Extensive experience developing and automating CI/CD pipelines.
• Expert-level knowledge of DBT for designing, developing, and maintaining data pipelines.
• Expert-level knowledge in data modeling and data architecture.
• Experience with Agile Scrum, Kanban, Iterative Data Development and PACE methodologies

Nice To Have:

• Experience with AWS EC2, S3, ECS, Glue and Kinesis
• Experience with DevOps tools such as GIT, Docker, Jenkins, and Octopus.
• Knowledge of Terraform for designing and implementing infrastructure solutions.