Cloud Data Pipeline Engineer

Job Title : Senior Data Engineer – AI / ML & Cloud

Experience : 6+ Years

Location : Hybrid (1–2 days / week at any location – Noida, Gurgaon, Pune, Chennai, Bangalore, Hyderabad)

Shift Timing : 11 : 00 AM – 8 : 30 PM IST

Employment Type : Full-Time

About the Role :

We are looking for a highly skilled Senior Data Engineer with strong expertise in AI / ML and cloud data ecosystems . The ideal candidate will design, build, and optimize scalable data pipelines and intelligent analytics solutions that empower advanced data-driven decision-making. This role bridges data engineering with AI / ML deployment and MLOps in a modern cloud-first environment.

Key Responsibilities :

• Design, develop, and maintain ETL / ELT pipelines for large-scale structured and unstructured data.
• Build and optimize data models, data lakes, and warehouses on cloud platforms (AWS / Azure / GCP).
• Partner with data scientists to operationalize ML models and automate model lifecycle workflows ( MLOps ).
• Implement data validation, quality, and monitoring frameworks to ensure data reliability.
• Develop feature stores and real-time streaming solutions for AI / ML applications.
• Collaborate with business and product teams to translate data requirements into scalable engineering solutions.
• Leverage AI / ML techniques to enhance predictive analytics, data enrichment, and process automation.
• Manage and optimize data orchestration workflows using Airflow, Databricks, or Prefect.
• Ensure compliance with data governance, privacy, and security best practices.

Required Skills & Qualifications :

Good to Have :