1 to 25 of 94 Apache Iceberg Jobs

computations are represented, how query plans are optimized, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers … want to advance the capabilities of modern data systems and apply that work to consequential problems. Technologies We Use Java, Scala, Rust, and Python Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog ...

support comprehensive data analysis and reporting. Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, UnityCatalog, and Apache Atlas to maintain data integrity and trust. Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining … scale data systems with high performance and low latency, such as managing 1 billion+ records or terabyte-sized databases. Knowledge of Delta Tables or Apache Iceberg: Understanding and experience with Delta Tables or Apache Iceberg for managing large-scale data lakes efficiently. Knowledge of Data Governance ...

analytical and operational domains.Establish ELT/ETL and streaming architectures on Snowflake Snowpipe, Snowpipe Streaming, Dynamic Tables, Streams and Tasks, external tables, and Apache Iceberg tables along with orchestration standards (dbt, Airflow, Snowflake Tasks) and CI/CD/DataOps best practices.Implement security-by-design in Snowflake: RBAC … Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg) is a plus.Mastery of Snowflake security and governance: RBAC, tag-based governance, dynamic data masking, row access policies, column-level security, Tri-Secret ...

days a week in client office, 3 days remote)Job Type :Permanent, Contract, FTCJob Description:Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS ,SQLKey Responsibilities:Architect and Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement … Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation ...

semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline … Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry ...

clear SLAs and backups. Own the observability platform (ClickHouse, OpenTelemetry): logs, metrics, traces, synthetics, SLOs and actionable alerting. Own the data platform: Glue pipelines, Apache Iceberg lakehouse, Redshift and CDC; serve BI users with traceable datasets and handle data requests with strong privacy practice. Operate platform security controls … security practice; willing to participate in the on‐call rota. Excellent communication; comfortable prioritising, working with stakeholders and reporting upwards. Desirable ClickHouse, Redshift or Apache Iceberg; data engineering with AWS Glue or Spark. Delivering the technical side of a security standard (Cyber Essentials Plus, ISO 27001). Experience ...

hybrid contract basis. This role focuses on designing, building, and optimizing modern data lakehouse architectures using AWS-native services and open table formats like Apache Iceberg. You will play a key role in enabling scalable, secure, and high-performance data platforms.Key Responsibilities Design and implement scalable AWS Data Lakehouse … solutions Develop and maintain data pipelines using Python and PySpark Work with AWS services including: S3, EMR, Lambda, IAM, EKS, MWAA Build and manage Apache Iceberg tables for efficient data storage and querying Implement CI/CD pipelines for data platform deployments Use Terraform for infrastructure as code ...

effectively with stakeholders and champion better ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This ...

effectively with stakeholders and champion better ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This ...

LilEngine is leading the Lakehouse, a company-strategic effort to make Apache Iceberg a first-class citizen in Spotify's data ecosystem. We're building it in close collaboration with Google, on open standards, so that different kinds of data are queryable the same way and teams … bring the right engine, from BigQuery to Dataflow to Trino, to the job. The work has two parts. Hecate enables Iceberg for the Parquet datasets that already exist across Spotify, so teams get the benefits without rewriting their data. Alongside it, we're building the foundations ...

data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel … data analyst, solutions engineer, technical marketer, or PMM for a technical infrastructure product Familiarity with SQL, data platforms, lakehouses, federated query, Trino, Apache Iceberg, cloud data warehouses, or enterprise AI Experience translating roadmaps into differentiated positioning and executing launches that drive evaluation and adoption Comfort working closely with ...

operating ETL/ELT pipelines and large-scale data architectures. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

operating ETL/ELT pipelines and large‐scale data architectures. Hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

Document stores).Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline … lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development ...

stores). Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop). Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis). End-to-end exposure … data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). Advanced SQL skills and proficiency in Python. Strong background ...

operating ETL/ELT pipelines and large‐scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). ...

operating ETL/ELT pipelines and large-scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). ...

environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch … streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products ...

data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven … expertise using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience with best practices applied to data (e.g., testing, CI/CD) Advantageous Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight Experience with ...

change data capture (CDC), ETL/ELT and orchestration. A good understanding of relational and non‐relational databases, open table formats (e.g. Delta Lake, Apache Iceberg), and data storage and lifecycle design. Practical knowledge of data governance, including cataloguing, lineage, data quality, ownership, classification and access policy, with … Associate/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud‐native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models, or the Databricks/Snowflake semantic capabilities. ...

change data capture (CDC), ETL/ELT and orchestration. A good understanding of relational and non-relational databases, open table formats (e.g. Delta Lake, Apache Iceberg), and data storage and lifecycle design. Practical knowledge of data governance, including cataloguing, lineage, data quality, ownership, classification and access policy, with … Associate/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud-native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models, or the Databricks/Snowflake semantic capabilities. ...

working with cloud‐native technologies, and applying robust software engineering practices. Key Responsibilities Design, develop, and optimise scalable, testable data pipelines using Python and Apache Spark. Implement batch workflows and ETL processes adhering to modern engineering standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such … Glue, EMR Serverless, Lambda, and S3. Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg. Apply Software Engineering Best Practices Use version control, CI/CD pipelines, automated testing, and modular code principles. Participate in pair programming, code reviews, and architectural design sessions. Data Quality & Observability Build monitoring ...

tenant isolation, row- and column-level security, and PII handling. Define the streaming and batch ingestion architecture, building on our investments in NATS JetStream, Apache Flink, and Debezium CDC patterns, and direct the engineering team on execution. Specify the catalog, lineage, and data-quality foundation and own the operational … reconciling semantically divergent source systems into canonical models across multiple products. Strong grounding in Lakehouse architecture trade-offs: table formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake; streaming vs batch). Hands-on experience with: Dremio, Snowflake, or Databricks AWS data services (S3, Glue ...

Experience with governance, controls, and data quality frameworks including reconciliations, lineage, auditability, and entitlements. Familiarity with lake and lakehouse table formats and concepts, including Iceberg or Delta, and columnar storage formats such as Parquet. Experience with CI/CD, infrastructure as code, containerized workloads, and DevOps practices. Experience leading ...