Job Description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.



If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Senior Data Engineer

Experience Level: 4 to 7 Years

Work location: Bangalore/Mumbai (Hybrid)

Role & Responsibilities:Design and own the Alibaba Cloud platform architecture aligned to an existing Azure-based reference architecture. Translate Azure PaaS, Kubernetes, IoT, data, and observability services into Alibaba Cloud equivalents with minimal application change. Define a cloud-agnostic, portable platform blueprint supporting deployments across Azure, GCP, and Alibaba Cloud. Lead multiple data engineering engagements on GCP, including data lakes, data warehouses, data migration, and BI solutions. Architect, design, and implement end-to-end data pipelines using GCP-native tools such as Dataflow, Dataproc, BigQuery, Pub/Sub, Composer, and Cloud Storage. Collaborate with stakeholders to gather and translate business requirements into technical architectures and non-functional specifications (availability, scalability, performance, and security). Design and manage data lake and data warehouse solutions leveraging BigQuery, Cloud Storage, and Cloud SQL. Build and optimize real-time and batch data processing systems for high-volume workloads. Implement data validation, monitoring, and governance processes to ensure data quality and reliability. Drive modernization and migration of on-premise data systems to GCP. Partner with pre-sales teams to contribute to RFPs, RFIs, and solution design for GCP-based data projects. Mentor and guide junior engineers, fostering technical excellence and innovation. Contribute to internal assets, accelerators, and reusable GCP components to improve project delivery speed and consistency.


Must have skills:3+ years of experience in architecting and delivering data engineering solutions on Alibaba Cloud. Strong hands-on expertise with Alibaba. Proficiency in ETL/ELT design and development using Apache Spark, PySpark, SQL, and Dataflow. Experience designing data pipelines for structured and unstructured data sources. Solid understanding of data modeling, data partitioning, and performance optimization in BigQuery. Experience with data integration tools like Cloud Data Fusion, and orchestration using Composer or Airflow. Familiarity with NoSQL databases such as Firestore or Bigtable. Good understanding of data security, IAM, VPC, and encryption policies on GCP. Exposure to machine learning workflows using TensorFlow, Vertex AI, or AI Platform is a plus. Strong understanding of modern cloud architectures (IaaS, PaaS, containers, and microservices). Working knowledge of BI and reporting tools such as Looker, Data Studio, or Tableau.


Preferred Qualifications:Experience leading large-scale data migration or modernization projects on Alibaba Experience working in agile, fast-paced environments with distributed teams.


Why Join Quantiphi?Be part of an award-winning Google Cloud partner recognized for innovation and impact. Work on cutting-edge GCP-based data engineering and AI projects. Collaborate with a global team of data scientists, engineers, and AI experts. Access continuous learning, certifications, and leadership development opportunities.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!