... project-specific business logic through programming languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Big Data best practices and ...
... project-specific business logic through programming languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Big Data best practices and ...
... an opportunity to make a direct impact on technologies used by leading game developers and end users. WHAT YOU WILL DO: - Contribute to a high‑performing validation automation team delivering reliable and scalable solutions - Design, develop, and maintain automated validation frameworks and integration tests - Perform ...
... Design, develop, and maintain scalable data pipelines Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event streams) Perform data transformation, validation, and quality checks across end‑to‑end ...
... company that is growing and scaling - Flexible working hours & remote work option Key Responsibilities - Modeling & Technical Execution - Own the end‑to‑end data science lifecycle for moderately complex models and significant project components — spanning data ingestion, feature engineering, modeling, validation, deployment, ...
... systemic risks. - Produce emerging threat assessments, typology briefings and horizon‑scanning outputs. - Support EWRA activities through intelligence analysis, data validation and thematic reporting. - Support remediation oversight through identification of recurring issues, deteriorating indicators and thematic root‑cause ...
... project-specific business logic through programming languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Big Data best practices and ...
... Your key responsibilities Act as the technical lead and trusted advisor for client engagements, leading discovery across cloud infrastructure, applications, data, integrations, security, observability and operations. Turn ambiguous requirements into architecture decisions, delivery scope, phased plans, estimates, dependencies, ...
... establishing data governance, access policies, and security frameworks for data layer / Data Hubs - ensuring efficient storage, retrieval, and processing of large-scale datasets - preparing solutions for streaming and batch data ingestion, transformation, and updating models - implementing automated data validation, anomaly detection, ...
... Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement. - Ensure ...
... data pipelines, warehousing, and BI reporting. You will collaborate with Data Engineers, BI Developers, and stakeholders to ensure quality, trusted, scalable data-driven insights. Key tasks include driving testing standards, integrating tests into CI/CD, and supporting data transformations and business rules validation ...
... performance tuning for industrial applications Practical experience with industrial OT protocols such as OPC UA, Modbus, and Profinet Solid understanding of GxP/CSV validation and data integrity principles Strong command of Infrastructure as Code (IaC) practices and GitOps methodologies Experience with observability tools like Prometheus, ...
... queries, join large datasets, and prepare data for modeling Proficiency in Python (libraries such as pandas, numpy, scikit-learn, statsmodels or similar) – focus on data analysis, modeling, and result validation Experience working with large datasets and ETL processes Ability to work with business data and interpret analytical ...
... establishing data governance, access policies, and security frameworks for data layer / Data Hubs - ensuring efficient storage, retrieval, and processing of large-scale datasets - preparing solutions for streaming and batch data ingestion, transformation, and updating models - implementing automated data validation, anomaly detection, ...
... design, validation methodology, and the judgment to spot results that won’t survive contact with reality Familiarity with at least one cloud/data platform and its data science components — Azure (Microsoft Fabric, Azure Machine Learning), AWS (SageMaker), GCP (Vertex AI, BigQuery ML), Snowflake (Snowpark ML, Cortex), Databricks ...
... Data Products Drive modernization of legacy solutions into modern data platform architectures, including transition from MSBI-based reporting (SSIS, SSAS) to Data Products Contribute to technology selection and evolution of the Azure data platform, ensuring alignment with security, compliance, and enterprise architecture ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
... and maintain scalable and efficient data pipelines in Azure and Databricks Develop and optimize ETL processes using Azure Data Factory and Databricks Build Big Data solutions aligned with business requirements Collaborate with Data Science, BI, and development teams to ensure high-quality data Monitor performance of data ...
... Hands-on with Generative AI: embeddings, prompt engineering, tool/function calling, and agent frameworks (LangChain, LangGraph, PydanticAI); experience with vector databases (pgvector and others). Solid grounding in classical ML: model selection, validation, and metrics (e.g., AUC/F1/RMSE); time series or forecasting experience ...
... project-specific business logic through programming languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Big Data best practices and ...