7 of 7 Parquet Jobs in the South East

Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines, resolve issues, and enhance data quality processes. Work closely with engineers, data More ❯

Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯

DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. More ❯

technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs. Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.) Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.) Proven experience in managing the operational aspects of More ❯

needs of the platform tools. Collaborate with product managers to capture requirements, wireframe solutions, and design the user experience. Work with big data technologies such as Kafka, Iceberg, and Parquet, and managed database technologies such as PostgreSQL and Oracle vector databases. Ensure applications are secure. Operate, monitor, and maintain the associated Oracle Cloud infrastructure to ensure the platform tools More ❯

meet the needs of platform tools. Work with product managers to capture requirements, wireframe solutions, and design user experiences. Work with big data technologies such as Kafka, Iceberg, and Parquet, and managed database technologies including PostgreSQL and Oracle vector databases. Ensure applications are secure. Operate, monitor, and maintain associated Oracle Cloud infrastructure to ensure platform tools are highly available More ❯

financial services or consulting Strong knowledge of relational and dimensional design (3NF, star, snowflake) Proficient in ERWin, Sparx, or similar tools Experience working with semi-structured data (JSON, XML, Parquet) Excellent communication and client-facing skills More ❯