Senior Data Platform Engineer

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certifiedGreat 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.
• Involved in Design, build, and maintain scalable data pipelines and ETL/ELT processes using Scala, Java, or similar languages, alongside Python (with Pandas/PySpark or similar).
• Write and optimize complex SQL queries to support analytics and business intelligence needs.
• Work closely with data scientists to integrate and operationalize machine learning models within production pipelines.
• Deploy and manage data workloads on platforms like AWS EMR or Kubernetes for containerized data processing and orchestration.
• Expertise designing and implementing flexible, durable data models.
• Good to have exposure on observability tools for instance Datadog, Sentry, etc), with significant data modeling experience, data catalog experience, Terraform and related experience.
• 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.