Quantiphi
Quantiphi
Quantiphi is an AI-first digital engineering company that helps organizations apply artificial intelligence, data, and cloud technologies to complex business challenges. Founded in 2013, the company combines consulting and engineering expertise to build scalable AI applications, develop data analytics capabilities, modernize cloud infrastructure, and deliver custom implementations. Its work supports organizations in sectors such as healthcare, finance, education, retail, and logistics, with technology partnerships including AWS, Google Cloud, and NVIDIA. Quantiphi’s teams focus on turning advanced technology into practical solutions for enterprise transformation.

Senior Data Engineer, Onsite in India

Senior Data Engineer responsible for Azure pipelines, hybrid cloud architectures, and distributed machine learning workflows. Contribute to large-scale data modernization at Quantiphi.

Description

  • Help plan and implement data flows, including sizing and configuration
  • Support Solution Architects in transforming and modernizing Azure-based data solutions
  • Develop production-ready code for distributed machine learning workflows
  • Design and implement Azure data pipelines and streaming data flows
  • Build hybrid data solutions that integrate on-premises and cloud services
  • Investigate complex distributed-systems issues and deliver scalable solutions
  • Create tools for ingesting and processing terabytes of data each day
  • Collaborate with product owners, analysts, architects, platform engineers, and cloud vendors
  • Prepare detailed designs, technical specifications, and test plans
  • Own development tasks, production releases, and post-production support
  • Assist with unit, system integration, and user acceptance testing
  • Coordinate testing and migration activities with business and support teams

Requirements

  • 4–7 years of professional experience
  • Currently serving a notice period of 0–15 days
  • Strong hands-on experience with Spark and PySpark
  • Advanced SQL skills, including query performance optimization
  • Strong practical experience with Python, Java, or Scala
  • Experience working with Azure, AWS, or Google Cloud Platform
  • Experience with Azure Data Factory is advantageous
  • Databricks experience is desirable
  • Experience with Snowflake or Synapse data warehouses
  • Ability to design dimensional models for data warehouses and marts
  • Knowledge of version control and build automation tools, including Azure DevOps and/or MLOps
  • Understanding of operating system internals, file systems, disk and storage technologies, and storage protocols

Benefits

  • A culture centered on transparency, diversity, integrity, learning, and growth
  • An environment that supports innovation and both professional and personal development

Related Jobs

hey contact heroes GmbH

Outbound Telesales Team Leader

hey contact heroes GmbH
501 – 1,000 Employees
B2BB2CHR Tech

Lead and coach the outbound telesales team at hey contact heroes, an international customer service provider. This fully remote role focuses on sales performance, team development, and operational quality.

Open
Otsuka Pharmaceutical Companies (U.S.)

Remote Managed Market Liaison Director

Otsuka Pharmaceutical Companies (U.S.)

Lead national payer medical strategy for Otsuka’s pharmaceutical portfolio, bringing clinical and economic evidence to U.S. health plans. The role spans payer education, market insights, account partnerships, and cross-functional access initiatives.

Open