Company Overview: At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. The RoleWe are looking for an experienced Data Engineering Lead to manage a team of talented data engineers and drive the successful execution of our most critical data projects. You will be a technical leader who bridges the gap between architectural vision and team execution, responsible for project delivery, team mentorship, and hands-on contribution to complex data pipelines. This role is pivotal in ensuring our enterprise client projects and internal data initiatives are successful and deliver measurable value.Key Responsibilities
- Team Leadership & Mentorship: Lead, manage, and mentor a team of data engineers, fostering their technical and professional growth through coaching and constructive feedback.
- Project Delivery & Execution: Oversee the end-to-end delivery of data projects, from planning and design to deployment and maintenance. Ensure projects are delivered on time and meet the highest quality standards.
- Technical Oversight: Provide technical direction on data pipeline design, development, and optimization. Lead by example in code reviews, ensuring adherence to best practices.
- Hands-on Contribution: Actively participate in the development of the most complex components of our data solutions, especially in areas requiring senior-level expertise.
- Stakeholder Management: Serve as the primary technical point of contact for project stakeholders, effectively communicating progress, risks, and technical concepts to both technical and non-technical audiences.
- Promote Excellence: Drive the adoption of data engineering best practices, including robust CI/CD pipelines, automated data quality testing, and comprehensive documentation.
- Experience: 8+ years of professional experience in data engineering, with at least 2 years in a formal or informal leadership capacity where you were responsible for guiding other engineers.
- Technical Expertise: Strong hands-on experience and deep understanding of Big Data technologies, particularly the Databricks platform.
- Programming Proficiency: High proficiency in Python or Scala for data engineering.
- Cloud Skills: Solid experience designing and implementing data solutions using data services on AWS, Azure, or GCP.
- Leadership Acumen: Demonstrated ability to lead technical teams, manage project priorities, and deliver results in a fast-paced environment.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
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