Data Engineer (Snowflake / GraphDB / GraphQL)
EXPERT RECRUITING SOLUTIONS, LLC
Center Square, PA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon S3
Continuous Integration
Data Architecture
Information Engineering
Data Warehousing
DevOps
Graph Database
Information Retrieval
Python (Programming Language)
Neo4j
+18 more
Software Engineering
SQL Databases
TigerGraph
Data Ingestion
Sql Optimization
Retrieval-Augmented Generation
Large Language Models
Snowflake
Git
Data Lakes
Kubernetes
Star Schema
Apache Kafka
Graphql
Data Management
Presto
Data Pipelines
Docker
Job description
- Build and optimize Snowflake data pipelines and warehouses
- Develop advanced SQL and data models for analytics and operational workloads
- Design and manage Graph Databases (Neo4j, Neptune, TigerGraph, etc.)
- Build GraphQL APIs and federated schemas
- Develop streaming, CDC, and batch ingestion pipelines
- Implement data quality, lineage, monitoring, and observability
- Partner with software engineering and DevOps teams on data architecture
Requirements
Snowflake Schema, GraphQL, LinkedIn, Data Management, Snowflake Schema, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), Information Retrieval, GraphQL, Data Warehousing, * 5+ years of Data Engineering experience
- Expert SQL and production Snowflake
- Hands-on Graph Database experience (Neo4j, Neptune, TigerGraph, etc.)
- Strong GraphQL experience
- Python (Airflow, Prefect, Dagster)
- Kafka/Kinesis, S3/MinIO
- Docker, Kubernetes, Git, and CI/CD, * AI/LLM platforms, vector databases, embeddings, or RAG
- dbt, Iceberg, Delta Lake, Trino/Presto
- Telecom or media industry experience
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