About the Role
The Data Engineering Lead will oversee the development and management of data infrastructure, ensuring it meets the needs of the organization and supports data-driven initiatives. This role involves leading a team of data engineers, collaborating with stakeholders, and driving the implementation of data solutions.
Responsibilities
- Lead the design and implementation of data infrastructure and pipelines.
- Oversee the development and maintenance of data warehouses and data lakes.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality, security, and compliance with relevant regulations.
- Develop and maintain data governance policies and procedures.
- Lead a team of data engineers, providing guidance and mentorship.
- Drive the adoption of best practices in data engineering.
- Optimize data processing and storage solutions for performance and cost-efficiency.
- Work with data scientists and analysts to provide the data they need for analysis and reporting.
- Implement data integration solutions to consolidate data from various sources.
- Develop and maintain ETL (Extract, Transform, Load) processes.
- Monitor and troubleshoot data pipeline issues.
- Stay up-to-date with the latest data engineering technologies and trends.
- Conduct regular performance reviews and provide feedback to team members.
- Collaborate with IT and other departments to ensure data infrastructure aligns with overall business goals.
- Document data engineering processes and maintain technical documentation.
- Participate in the planning and execution of data projects.
- Ensure data infrastructure is scalable and can handle increasing data volumes.
- Implement data backup and recovery solutions.
- Conduct data audits to ensure data accuracy and integrity.
- Provide technical support and troubleshooting for data-related issues.
- Develop and maintain data dashboards and reporting tools.
- Collaborate with vendors and third-party service providers.
- Ensure data infrastructure is compliant with industry standards and best practices.
- Develop and maintain data migration strategies and plans.
- Conduct regular data assessments to identify areas for improvement.
Nice to Have
- Experience with data engineering in a fast-paced, dynamic environment.
- Familiarity with data engineering tools and technologies.
- Experience with data engineering best practices.
- Knowledge of data engineering frameworks and standards.
- Experience with data engineering in a cloud environment.
- Familiarity with data engineering tools and technologies.
- Experience with data engineering best practices.
- Knowledge of data engineering frameworks and standards.
- Experience with data engineering in a cloud environment.
Compensation
Competitive salary and benefits package.
Work Arrangement
Hybrid work arrangement with a mix of remote and on-site work.
Team
Join a dynamic and collaborative team of data professionals.
What You'll Bring
- A strong background in data engineering and infrastructure design.
- Proven leadership experience in managing data engineering teams.
- Excellent problem-solving skills and a detail-oriented approach.
- Strong communication and interpersonal skills.
- Experience with data governance and compliance.
- Knowledge of data security best practices.
- Familiarity with cloud platforms and big data technologies.
- Experience with ETL tools and data integration technologies.
- Strong analytical and critical thinking skills.
- Ability to work independently and in a team environment.
- Experience with data migration and transformation.
- Knowledge of data warehousing concepts and best practices.
- Experience with data quality management.
- Familiarity with data lakes and data streaming technologies.
- Experience with data pipeline orchestration tools.
- Knowledge of data encryption and security protocols.
- Experience with data backup and recovery solutions.
- Familiarity with data governance frameworks and standards.
- Experience with data integration and consolidation.
- Knowledge of data warehousing solutions and tools.
- Experience with data analytics and reporting tools.
- Familiarity with data governance policies and procedures.
What You'll Do
- Lead the design and implementation of data infrastructure and pipelines.
- Oversee the development and maintenance of data warehouses and data lakes.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality, security, and compliance with relevant regulations.
- Develop and maintain data governance policies and procedures.
- Lead a team of data engineers, providing guidance and mentorship.
- Drive the adoption of best practices in data engineering.
- Optimize data processing and storage solutions for performance and cost-efficiency.
- Work with data scientists and analysts to provide the data they need for analysis and reporting.
- Implement data integration solutions to consolidate data from various sources.
- Develop and maintain ETL (Extract, Transform, Load) processes.
- Monitor and troubleshoot data pipeline issues.
- Stay up-to-date with the latest data engineering technologies and trends.
- Conduct regular performance reviews and provide feedback to team members.
- Collaborate with IT and other departments to ensure data infrastructure aligns with overall business goals.
- Document data engineering processes and maintain technical documentation.
- Participate in the planning and execution of data projects.
- Ensure data infrastructure is scalable and can handle increasing data volumes.
- Implement data backup and recovery solutions.
- Conduct data audits to ensure data accuracy and integrity.
- Provide technical support and troubleshooting for data-related issues.
- Develop and maintain data dashboards and reporting tools.
- Collaborate with vendors and third-party service providers.
- Ensure data infrastructure is compliant with industry standards and best practices.
- Develop and maintain data migration strategies and plans.
- Conduct regular data assessments to identify areas for improvement.
What You'll Get
- A competitive salary and benefits package.
- A hybrid work arrangement with a mix of remote and on-site work.
- The opportunity to join a dynamic and collaborative team of data professionals.
- Visa sponsorship for eligible candidates.
- The chance to work on cutting-edge data engineering projects.
- A supportive and inclusive work environment.
- Opportunities for professional development and growth.
- A competitive benefits package.
- A hybrid work arrangement with a mix of remote and on-site work.
- The opportunity to join a dynamic and collaborative team of data professionals.
Visa sponsorship is available for eligible candidates.
