graph databases , Cloud-based data platforms and services, Data integration tools and methodologies, Data modeling techniques

snowflake , Database Architecture, Kafka, Data Modeling, Javascript, Query Optimization, Python, Java, BigQuery, C++, Sql, Presto, Spark, Storage Systems, Go, Production reliability, Flink, Data quality testing, Partitioning, Trino, Data pipelines, Monitoring, NoSQL databases, Data quality observability, Distributed data systems, Cloud data infrastructure, Indexing

Sql, JIRA, Python, Airflow

graph databases

Cloud Storage (GCS), Google Cloud Platform (GCP), Advanced Sql, Python, Analytics Hub data sharing, Dataflow batch streaming pipelines, BigQuery advanced optimization and tuning, Batch and streaming data processing, Scripting and automation, Dataform SQL-based transformations, Dataplex Data Catalog, Data lakehouse architecture concepts, Pub Sub event-driven architectures, IAM Security controls, Data ingestion frameworks config-driven approach, Cloud Monitoring Logging, Java or Scala, ETL ELT pipeline design and implementation, Data modeling and warehousing principles, CDC and incremental processing

Database and SQL, Backend data engineering, Exchange feeds, Go, Broker APIs

Python, Advanced Sql, CDC and incremental processing, Java or Scala preferred, Dataflow batch streaming pipelines, BigQuery advanced optimization and tuning, Scripting and automation, Batch and streaming data processing, IAM Security controls, Data modeling and warehousing principles, Data lakehouse architecture concepts, ETL ELT pipeline design and implementation, Google Cloud Platform GCP, Data ingestion frameworks config-driven approach preferred, Cloud Storage GCS, Dataform SQL-based transformations, Dataplex Data Catalog, Analytics Hub data sharing, Pub Sub event-driven architectures, Cloud Monitoring Logging