17 of 17 Great Expectations Jobs

driven systems. Experience with data mesh, data product operating models, or modern data governance frameworks. Exposure to Data Quality and Observability platforms such as Great Expectations, Monte Carlo, or Soda. Industry experience within Financial Services, Energy & Utilities, Healthcare, Manufacturing, or Retail. Cloud provider and/or platform certifications ...

processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand 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 ...

legacy data 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. The opportunity ...

legacy data 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. The opportunity ...

frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. ...

Experience with CI/CD pipelines using tools such as GitHub Actions or ArgoCD Experience with data testing and quality frameworks such as dbt, Great Expectations, or Soda Experience in consulting or professional services environments Strong consulting instincts and ability to challenge assumptions and guide clients toward better ...

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. Why apply? This ...

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. Why apply? This ...

optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage, permissions management, governance controls and data asset tagging. Strong analytical ...

Lake, Hudi). Familiarity with CI/CD platforms such as GitLab CI, Jenkins, or GitHub Actions. Exposure to data quality frameworks such as Great Expectations or Deequ. Interest or background in financial markets, index data, or investment analytics. #J-18808-Ljbffr ...

Server, with advanced SQL skills for validating complex datasets. Experience developing automated testing and quality engineering solutions using tools such as Python, dbt, Great Expectations or similar frameworks. Understanding of modern Agile, DevOps and CI/CD practices, including the use of AI-assisted testing and engineering tools. ...

Server, with advanced SQL skills for validating complex datasets. Experience developing automated testing and quality engineering solutions using tools such as Python, dbt, Great Expectations or similar frameworks. Understanding of modern Agile, DevOps and CI/CD practices, including the use of AI-assisted testing and engineering tools. ...

implementing practical solutions to improve data integrity, reliability and quality . Experience with automated validation approaches using SQL/Python or technologies such as Great Expectations or dbt tests would be particularly relevant. Alongside hands-on delivery, you will have the opportunity to influence engineering standards, contribute ...

Apache Spark/PySpark Ability to monitor, troubleshoot, and resolve pipeline failures Familiarity with lakehouse concepts Experience with Git, Databricks, streaming/CDC, AWS, Great Expectations Nice to have Exposure to YAML Experience building analytics data models in Spark What you’ll get in return Autonomy and ownership ...

technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. ...

Unity Catalog Deep expertise in medallion architecture, data ontologies, data products and data contracts, with strong command of data quality frameworks such as Great Expectations Proven ability to architect enterprise integration, master data management, matching and entity resolution to produce trusted, deduplicated golden records Demonstrated experience presenting architecture ...

available data. Experience contributing to AI governance, model risk management or responsible AI initiatives. Familiarity with data governance tools such as Collibra, Alation, Atlan, Great Expectations or Soda. Experience working with modern cloud-based data platforms and architectures. Experience establishing governance forums, steering groups or data councils. Experience ...