15 of 15 Great Expectations Jobs

Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working More ❯

Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working More ❯

e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied More ❯

e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied More ❯

e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied More ❯

e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied More ❯

or frameworks using SQL, Python, or PySpark. Proficient in testing data within cloud ecosystems (AWS, Azure (preferred) or GCP). Experience with testing frameworks or tools such as PyTest, Great Expectations, or similar. Familiarity with CI/CD practices and tools such as Git, Jenkins, or Azure DevOps. Ability to diagnose complex data issues and work collaboratively with More ❯

data programming frameworks (e.g. Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied More ❯

services – Databricks, ADF, ADLS, Power BI. Proficiency in SQL and data profiling for test design and validation. Hands-on experience with test automation frameworks such as Python/PySpark, Great Expectations, Pytest, or dbt tests. Practical understanding of CI/CD integration (Azure DevOps, GitHub Actions, or similar). Strong problem-solving skills and the ability to work More ❯

data. Preferred Skills Experience working with SAP extractors, IDOCs, orBW data flows. Familiarity with Snowflake, BigQuery,AWS Redshift, or other cloud data platforms. Exposure to data testing frameworks like Great Expectations or PyTest. Understanding of BI tools such as Power BI, Tableau, or SAP Analytics Cloud. Knowledge of CI/CD automation for data quality testing. Experience in More ❯

ll enforce secure, compliant, and ethical practices-VPC design, IAM policies, data encryption, and adherence to GDPR You'll be a trusted advisor and mentor, presenting technical solutions, managing expectations, and guiding junior team members About the candidates: University degree in Computer Science, Mathematics or in a directly related field (2.1 min grade) 3+ years in MLOps/ML … pipelines with Airflow/dbt and managing features via Feast or similar tools You have experience building dashboards with CloudWatch/Prometheus/Grafana and implementing data validation with Great Expectations It would be beneficial to have exposure to consulting/presales, MCP deployment, Databricks, and AWS ML Specialty certified Reply is an Equal Opportunities Employer and committed More ❯

/CI-CD, and data governance (Collibra, Alation, or Purview). Proven ability to troubleshoot, optimize, and deliver scalable solutions. Preferred Experience with dbt, Kafka, or data quality tools (Great Expectations, Monte Carlo). Snowflake certification (SnowPro Core or Advanced). Background in regulated industries such as healthcare or insurance. Soft Skills Strong analytical and communication abilities. Collaborative More ❯

generative AI applications Familiarity with LangChain, Hugging Face, or OpenAI APIs for working with LLMs Experience with data pipeline tools (e.g., Airflow, Step Functions) or data validation frameworks (e.g., Great Expectations) Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and More ❯

markets processes. Technical & Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited More ❯

markets processes. Technical & Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited More ❯