Velotio Technologies is a product engineering company recognized as a certified Great Place to Work® and one of the best companies to work for in India.
The company has provided full-stack product development for over 110 startups globally, focusing on cloud-native, data engineering, B2B SaaS, IoT, and Machine Learning.
As a Data Architect, you will lead the effort to establish world-class data foundations while working with real-time streaming plant data and cutting-edge ETL pipeline software tools.
Responsibilities include leading technical delivery for large enterprises through the customer lifecycle, designing and building complex streaming data pipelines, collaborating with Data Scientists for advanced analytics, analyzing customer use cases, and driving data adoption.
You will also contribute to data dictionaries, resolve data challenges using data mining techniques, and collaborate with product and platform engineering teams.
Requirements:
Candidates should have 5 to 9 years of experience as a Data Architect.
The ability to work independently and collaboratively with other teams is essential.
Experience with batch or streaming data processes is preferred.
Strong analytical ability and problem-solving skills are required.
Candidates must be comfortable working with customers to address concerns and suggest best practices.
Experience with technologies such as Python, Java, Git, Pandas, or R is necessary.
Proficiency in data analysis with SQL or NoSQL databases is required.
Experience in a manufacturing environment or on 6 sigma projects is preferred.
Benefits:
Velotio offers an autonomous and empowered work culture that encourages individuals to take ownership and grow quickly.
The company has a flat hierarchy that allows for fast decision-making and a startup-oriented culture focused on getting things done.
Employees enjoy a strong, fun, and positive environment with regular celebrations of success.
Velotio prides itself on creating an inclusive, diverse, and authentic environment, welcoming applications from all backgrounds.
