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Lead Engineer (Data Engineer- Databricks)

A product engineering company working with innovative startups and enterprises, providing full-stack product development for 110+ startups globally.
Data
Staff Software Engineer
Remote
101 - 500 Employees
8+ years of experience
Enterprise SaaS · AI

Description For Lead Engineer (Data Engineer- Databricks)

Velotio Technologies, a certified Great Place to Work®, is seeking a Lead Data Engineer to join their team of 400+ elite software engineers. This role combines technical leadership with hands-on development in the data engineering space, particularly focusing on Databricks implementations.

The position requires a seasoned professional with 8+ years of software development experience, including significant expertise in data engineering practices and AWS cloud services. You'll be working with modern data management tools like Spark, Python, and SQL, while leading and mentoring a development team.

As a Lead Engineer, you'll be responsible for making critical technical decisions, reviewing code, and ensuring architectural excellence. The role involves working with various AWS services, containerization technologies, and API development at scale. You'll be instrumental in designing and implementing cloud-based solutions that meet business requirements while maintaining high performance and scalability standards.

Velotio offers an attractive work environment with a flat hierarchy and autonomous culture that encourages quick decision-making and ownership. The company has an impressive track record of delivering full-stack product development for over 110+ startups globally, particularly in cloud-native, data engineering, B2B SaaS, and Machine Learning spaces.

The company strongly values diversity and inclusion, welcoming applications from all backgrounds. You'll be part of a positive, fun environment that regularly celebrates success while working on challenging technical problems that transform customer ideas into successful products. This remote position offers the flexibility to work from anywhere while being part of a dynamic, growing organization that's recognized as one of the best companies to work for in India.

Last updated a month ago

Responsibilities For Lead Engineer (Data Engineer- Databricks)

  • Provide technical leadership to the development team
  • Actively participate in coding, debugging, and troubleshooting
  • Review code to ensure adherence to coding standards and best practices
  • Identify and address performance bottlenecks and scalability issues
  • Design and implement cloud-based solutions using AWS services
  • Create and maintain comprehensive technical documentation
  • Work closely with cross-functional teams for successful integration

Requirements For Lead Engineer (Data Engineer- Databricks)

Python
Kubernetes
  • 8+ years of hands-on experience in software development, with 3+ years on data engineering practices and tooling
  • 3+ years working with AWS managed services and cloud-native development
  • At least 2 years working with Spark, python, SQL using technologies in modern data management and orchestration tooling
  • Professional experience with data structures, relational databases, non-relational/no-SQL databases, ETL processes
  • Experience developing SaaS (Software as a Service) / product development
  • Experience with containerization and orchestration technologies
  • Exposure to API development and productization / data delivery at scale through APIs
  • Exceptional problem-solving and analytical skills
  • Excellent communication and teamwork abilities
  • Bachelor's degree in Computer Science, Software Engineering, or related field

Benefits For Lead Engineer (Data Engineer- Databricks)

  • Autonomous and empowered work culture
  • Flat hierarchy with fast decision making
  • Strong, fun & positive environment with regular celebrations
  • Inclusive and diverse workplace
  • Great Place to Work® certified company

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