12 Hours ago • 5 Years + • Full Stack Development • Backend Development
About the job
Summary
As a Senior Data Platform Engineer at Velotio Technologies, you will design, develop, and launch strategic data mining solutions using AI and analytical techniques at scale. You'll own the full software development lifecycle (design, testing, deployment, operations), participate in technical discussions, and contribute to design and code reviews. Responsibilities include developing highly scalable platforms for data extraction, analysis, and processing from various sources (real-time and batch). You will build large-scale knowledge graphs by semantically linking data across domains. Maintaining high technical standards, building resilient systems, and driving operational improvements are key. Experience with large-scale distributed systems (preferably cloud-based) and real-world large datasets is essential.
Experience with Data Build tools, Data Pipelines, Snowflake and Kafka
Proficiency in Java or similar language
Good to have:
Observability tools (Datadog, Sentry)
Data modeling
Data catalog experience
Terraform
AWS, Azure, or Google Cloud experience
Perks:
Autonomous and empowered work culture
Flat hierarchy
Inclusive and diverse environment
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Description
Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work® and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.
Requirements
Design, develop, and launch strategic data mining solutions, driving business-wide innovation utilizing AI and analytical techniques at scale.
Take full ownership of the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, engage in technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
Participate in the development of highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
Develop large-scale knowledge graphs through semantically linking information and datasets from across multiple product and technical domains.
Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Desired Skills & Experience
Should be a graduate in mathematics/computer science or related discipline.
More than 5 years of experience in programming, with proficiency in at least one programming language, preferably Java.
Experience working with Data Build tools, Data Pipelines, Snowflake and Kafka.
Exposure on Observability (eg Datadog, Sentry, etc), significant data modeling experience/skill, data catalog experience, some Terraform and related experience.
Hands on experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
Experience working with large-scale distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
Experience dealing with real-world large-scale datasets.
Strong understanding and passion for statistical/mathematical modeling and data analysis.
Should be excellent in written and verbal communication.
Benefits
Our Culture:
We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
Flat hierarchy with fast decision making and a startup-oriented “get things done” culture
A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.
At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.