51 to 75 of 491 dbt Jobs

core stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. Some roles focus on hands‐on delivery, others on documenting and structuring that work. Commitment ...

authenticating and authorising API requests (OAuth, API keys) and troubleshooting API issues Strong understanding of data structures and databases Knowledge of data modeling tools (dbt, Dataform) Knowledge of data warehousing and ETL concepts with tools like Amazon Redshift or Google BigQuery Familiarity with data privacy principles Fluent English communication Strong ...

Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar. Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural ...

/ELT pipelines and automated data workflows. Experience integrating heterogeneous data sources, databases and APIs. Experience with workflow orchestration tooling (e.g. Airflow, Dagster or dbt) for scheduling and operating production data pipelines. Good understanding of data quality, metadata, lineage, testing and reproducibility. Ability to evaluate technical options and make pragmatic ...

data itself is the product. Data Engineering is the foundation all of that runs on. Databricks on AWS is our single foundation, with dbt for modelling, Fivetran for SaaS sources and AWS services for internal sources. Our ingestion and export patterns grew one at a time over several years. ...

databases. Experience with data integration and exchange, transfer, load processes. Experience with data visualization tools such as Tableau, Power BI, or D3.js. Familiarity with dbt/Prophecy good to have, but not essential. About the Company Thank you for your interest in a career with Clearwater! Clearwater Analytics (NYSE: CWAN ...

modern data architectures (data lakehouse, event-driven pipelines, and orchestration systems). Strong proficiency in Python, SQL, and IaC (Terraform). Experience using dbt, Snowflake, AWS, orchestration tool like Prefect. Experienced in building and maintaining batch and streaming data pipelines at scale. Skilled in managing and optimising cloud infrastructure ...

pipelines, automated testing, code quality enforcement, and environment management for production-grade data systems. Experience in orchestration and transformation frameworks such as Airflow, dbt, and Dagster, along with cloud-native platforms like Databricks. Knowledge and Skills: Operates with full autonomy on large-scale, complex data projects. ...

management practices. Strong hands-on Snowflake experience, including SQL optimisation and data pipeline development. Experience building and orchestrating data pipelines using tools such as dbt, Airflow or similar. Strong SQL skills and proficiency in Python or another data engineering language. Experience implementing automated data quality checks, monitoring and validation frameworks. ...

Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs into scalable, reusable data products … working knowledge of the wider Google Cloud Platform (GCP) ecosystem. Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling . A solid understanding of data modelling, dimensional modelling, orchestration, testing ...

Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs into scalable, reusable data products … working knowledge of the wider Google Cloud Platform (GCP) ecosystem. Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling . A solid understanding of data modelling, dimensional modelling, orchestration, testing ...

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, tag-based governance (ABAC), dynamic data masking, row/column … semantic design, including Snowflake semantic views and Horizon Context.Strong ELT/ETL and orchestration background Snowflake-native pipelines (Snowpipe, Dynamic Tables, Streams, Tasks), dbt (including dbt Projects on Snowflake), Airflow, Azure Data Factory, Informatica, or similar.Hands-on experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking ...

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 to work effectively with cross-functional stakeholders, translating technical ...

years in data engineering, strong Oracle 19c+ experience, warehousing concepts, ETL/ELT, and cloud familiarity (AWS Redshift/RDS). Bonus familiarity with dbt and CI/CD will help you improve data quality and performance. #J-18808-Ljbffr ...

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 to work effectively with cross‐functional stakeholders, translating technical ...

efficiency and support new business outcomes. What you’ll bring Extensive experience architecting cloud-based data engineering, BI and data science solutions. Experience with dbt for transforming, modelling, testing and documenting data within a modern data platform. Strong experience designing scalable data models and schemas for a range of structured ...

core stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. Some roles focus on hands-on delivery, others on documenting and structuring that work. Commitment ...

principles Experience with Microsoft Azure and Azure Data Lake Storage (ADLS) Experience with data engineering tools such as Azure Data Factory, Databricks, Apache Spark, dbt or Airflow Experience with cloud data platforms such as Azure Synapse Analytics or Snowflake Experience using Git for version control Experience integrating REST APIs ...

demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high-volume transactional retail data. End-to-End Deployment (MLOps): Partner with our engineers to transition your ...

However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile delivery environment Able to communicate ...

data solutions that drive business insights and customer value. The organisation is investing heavily in its data platform, with a modern stack including Snowflake, dbt and AWS , providing an excellent opportunity to gain hands-on experience with industry-leading technologies. Key Responsibilities Support the development and maintenance of data pipelines ...

experience building ELT pipelines in a Data Warehouse environment Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion) Hands-on expertise with: dbt, Airflow or Dagster Strong experience with: o Snowflake or similar cloud data warehouses o Distributed data systems o Kubernetes environments Deep understanding of: o Append-only ...

experience building ELT pipelines in a Data Warehouse environment Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion) Hands-on expertise with: dbt, Airflow or Dagster Strong experience with: o Snowflake or similar cloud data warehouses o Distributed data systems o Kubernetes environments Deep understanding of: o Append-only ...