Alibaba - Data Engineer

Role:
Data Engineer (Senior/Associate/Architect)

Experience Level: 4 to 12 Years

Work location:

Remote

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, Big Query, 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 Big Query, 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 Big Query.

- Experience with data integration tools like Cloud Data Fusion, and orchestration using Composer or Airflow.
- Familiarity with No

SQL databases such as Firestore or Bigtable.
- Good understanding of data security, IAM, VPC, and encryption policies on GCP.
- Exposure to machine learning workflows using Tensor Flow, 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.