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Senior Engineer (Data Engineer- Databricks)

A product engineering company working with innovative startups and enterprises, certified Great Place to Work®, providing full-stack product development for 110+ startups globally.
Data
Senior Software Engineer
Remote
101 - 500 Employees
4+ years of experience
Enterprise SaaS

Description For Senior Engineer (Data Engineer- Databricks)

Velotio Technologies, a certified Great Place to Work®, is seeking a Senior Data Engineer specializing in Databricks to join their team of 400+ elite software engineers. This role combines software development expertise with data engineering, focusing on building scalable solutions using modern cloud technologies. The position offers a unique opportunity to work with innovative startups and enterprises across cloud-native, data engineering, B2B SaaS, IoT & Machine Learning spaces.

The ideal candidate will bring 4+ years of software development experience, with deep expertise in data engineering practices and AWS cloud services. You'll be working with cutting-edge technologies including Databricks, Spark, and various data orchestration tools, while contributing to architectural excellence and performance optimization. The role demands strong technical skills in Python, SQL, and containerization technologies, combined with the ability to work effectively in cross-functional teams.

What makes this role particularly attractive is Velotio's culture of autonomy and empowerment. The company maintains a flat hierarchy that enables quick decision-making and promotes a startup-oriented "get things done" mentality. They've successfully delivered full-stack product development for over 110+ startups globally, providing ample opportunities for professional growth and exposure to diverse technical challenges.

The company strongly values diversity and inclusion, welcoming applications from all backgrounds. Their work environment is designed to be both challenging and supportive, with regular celebrations of success and a genuine commitment to creating an authentic workplace culture. For a data engineer looking to make a significant impact while working with cutting-edge technologies in a positive, growth-oriented environment, this role offers an excellent opportunity to advance their career.

Last updated a month ago

Responsibilities For Senior Engineer (Data Engineer- Databricks)

  • Actively participate in coding, debugging, and troubleshooting
  • Identify and address performance bottlenecks and scalability issues
  • Design and implement cloud-based solutions using AWS services
  • Create and maintain technical documentation
  • Work with cross-functional teams for successful integration

Requirements For Senior Engineer (Data Engineer- Databricks)

Python
Kubernetes
  • 4+ years of software development experience with 2+ years in data engineering
  • Experience with AWS managed services and cloud-native development
  • Experience with Spark, Python, SQL, AirFlow, DataBricks, DBT
  • Knowledge of data structures, databases, ETL processes
  • Experience with containerization (Docker, Kubernetes)
  • API development experience
  • Bachelor's degree in Computer Science or related field
  • Exceptional problem-solving and analytical skills
  • Excellent communication and teamwork abilities

Benefits For Senior Engineer (Data Engineer- Databricks)

  • Autonomous and empowered work culture
  • Flat hierarchy with fast decision making
  • Strong, fun & positive environment
  • Regular celebrations of success
  • Inclusive and diverse workplace

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