Data Engineer (AVP)
Core
Build, maintain, and improve data pipelines powering enterprise-grade data warehouses and AI knowledge bases within a banking environment.
Role type
Senior IC Data Engineer (AVP)
Builds
Reliable, reusable datasets and services for risk management, customer engagement, fraud detection, and intelligent automation.
Domain
Banking / Financial Services
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline development (batch & streaming), Data modeling, SQL, Python, Spark, Airflow, Cloud infrastructure (GCP/AWS), CI/CD, Terraform, Vector databases, Embedding generation, Semantic search
Preferred skills
Real-time streaming architectures, LLM applications, RAG pipelines, Banking domain experience
Technologies
Cloudera, AWS Redshift, GCP BigQuery, Spark, SQL, Python, Java, Flink, Debezium, Confluent, Fivetran, Airflow, Docker, Kubernetes, Cloud Run, Terraform, Flask, Redis
Responsibilities
Build and maintain data pipelines feeding data warehouse/lakehouse platforms; Implement data models for analytical datasets; Develop batch data processing jobs; Support real-time streaming pipelines; Build and operate CDC pipelines; Develop Airflow DAGs; Deploy data workloads on cloud platforms; Assist in building vector database pipelines and RAG workflows.
Seniority
Senior, hands-on IC
