Senior Data Engineer (Neo4j)

As a Data Engineer at CLOUDSUFI, a Google Cloud Premier Partner, you will be responsible for designing, developing, and deploying graph database solutions using Neo4j for economic data analysis and modeling. Your expertise in graph database architecture, data pipeline development, and production system deployment will play a crucial role in this position. Your key responsibilities will include designing and implementing Neo4j graph database schemas for complex economic datasets, developing efficient graph data models, creating and optimizing Cypher queries, building graph-based data pipelines for real-time and batch processing, architecting scalable data ingestion frameworks, developing ETL/ELT processes, implementing data validation and monitoring systems, and building APIs and services for graph data access and manipulation. In addition, you will be involved in deploying and maintaining Neo4j clusters in production environments, implementing backup and disaster recovery solutions, monitoring database performance, optimizing queries, managing capacity planning, and establishing CI/CD pipelines for graph database deployments. You will also collaborate with economists and analysts to translate business requirements into graph solutions. To be successful in this role, you should have 5-10 years of experience, with a background in BTech / BE / MCA / MSc Computer Science. You should have expertise in Neo4j database development, graph modeling, Cypher Query Language, programming languages such as Python, Java, or Scala, data pipeline tools like Apache Kafka and Apache Spark, and cloud platforms like AWS, GCP, or Azure with containerization. Experience with graph database administration, performance tuning, distributed systems, database clustering, data warehousing concepts, and dimensional modeling will be beneficial. Knowledge of financial datasets, market data, economic indicators, data governance, and compliance in financial services is also desired. Preferred qualifications include Neo4j Certification, a Master's degree in Computer Science, Economics, or a related field, 5+ years of industry experience in financial services or economic research, and additional skills in machine learning on graphs, network analysis, and time-series analysis. You will work in a technical environment that includes Neo4j Enterprise Edition with APOC procedures, Apache Kafka, Apache Spark, Docker, Kubernetes, Git, Jenkins/GitLab CI, and monitoring tools like Prometheus, Grafana, and ELK stack. Your application should include a portfolio demonstrating Neo4j graph database projects, examples of production graph systems you've built, and experience with economic or financial data modeling.,