Lead Data Engineer
Description For Lead Data Engineer
ShyftLabs, a dynamic data product company established in 2020, is seeking a Lead Data Engineer to join their team. This role presents an exciting opportunity to work with Fortune 500 companies, building scalable software solutions that drive business growth through innovation. The position requires a seasoned professional with 7+ years of Python development experience who can lead data pipeline development and implementation of high-performance applications.
The role combines technical leadership with hands-on development, requiring expertise in ETL/ELT processes, real-time data streaming, and cloud technologies (preferably GCP). The ideal candidate will have strong foundations in software engineering best practices, including testing, version control, and CI/CD, along with experience in modern technologies like Kubernetes and infrastructure as code.
What makes this role particularly attractive is the opportunity to work with cutting-edge data technologies while contributing to solutions that directly impact major enterprises. ShyftLabs offers a competitive compensation package, including comprehensive insurance benefits and significant investment in employee growth through learning and development resources.
The hybrid work environment in Noida provides flexibility while maintaining collaborative opportunities with cross-functional teams. This position is perfect for a data engineering leader who wants to make a significant impact in a growing company while working with enterprise-scale data solutions and modern technology stack.
Responsibilities For Lead Data Engineer
- Develop and maintain data pipelines and ETL/ELT processes using Python
- Design and implement scalable, high-performance applications
- Work collaboratively with cross-functional teams to define requirements and deliver solutions
- Develop and manage near real-time data streaming solutions using Pub, Sub or Beam
- Contribute to code reviews, architecture discussions, and continuous improvement initiatives
- Monitor and troubleshoot production systems to ensure reliability and performance
Requirements For Lead Data Engineer
- 7+ years of professional software development experience with Python
- Strong understanding of software engineering best practices (testing, version control, CI/CD)
- Experience building and optimizing ETL/ELT processes and data pipelines
- Proficiency with SQL and database concepts
- Experience with data processing frameworks (e.g., Pandas)
- Understanding of software design patterns and architectural principles
- Experience with unit testing and test automation
- Experience working with any cloud provider (GCP is preferred)
- Experience with CI/CD pipelines and Infrastructure as code
- Experience with Containerization technologies like Docker or Kubernetes
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven track record of delivering complex software projects
- Excellent problem-solving and analytical thinking skills
- Strong communication skills and ability to work in a collaborative environment
Benefits For Lead Data Engineer
- Competitive salary
- Strong insurance package
- Learning and development resources
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