We are looking for a Senior Data & AI Developer to lead the design and implementation of a GCP-based data and AI platform . This role will drive architecture decisions, build scalable pipelines, and implement AI-driven monitoring and data quality solutions.
Responsibilities
Key Responsibilities
Architect and implement end-to-end data pipelines
Design and maintain a medallion data architecture (Bronze, Silver, Gold)
Lead development of data transformations using dbt
Build scalable ELT pipelines using SQL and Python
Design and operate Lakehouse architecture using open table formats (Apache Iceberg, Delta Lake, or Hudi)
Architect and maintain batch and streaming data pipelines
Apply cost-aware data modeling and query optimization
Implement AI/ML solutions for pipeline monitoring and data quality
Implement AI/ML and GenAI use cases for predictive analytics
Optimize reporting datasets for BI and analytics consumption
Design metadata management and data cataloging solutions
Define standards for data modeling, documentation, and governance
Build and maintain CI/CD pipelines for data workloads
Mentor junior engineers and set engineering best practices
Qualifications
Required Qualifications
6–10+ years of experience in data engineering, analytics, or AI
Strong expertise in Google Cloud Platform / AWS ( BigQuery , GCS, Composer, etc.)
Advanced SQL and Python skills
Advanced experience using dbt for analytics engineering
Solid background in data modeling and semantic layer design
Experience supporting BI tools and executive reporting
Experience designing data lakes and data warehouses
Strong understanding of ELT, orchestration, and data integration
Experience with CI/CD and DevOps practices for data platforms
Experience with surfacing data sets to Agents
Experience with API-based data ingestion and data surfacing
Nice to Have
Hands-on experience with LLMs and GenAI platforms
Background in enterprise-scale analytics platforms
Prior experience leading cloud da
📌 Senior Data (India)
🏢 RealPage India
📍 India
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