... 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 ...
... 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 ...
... 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 ...
... 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 ...
... opportunities for improvement Document and visualize processes, requirements and solution designs clearly Collaborate with business stakeholders, developers, data teams and architects Support the Functional Application Manager with test scenarios and validation of functional requirements Key requirements 6+ years of relevant ...
... individual(s) in the role of Data Modelling will be responsible for modelling data within specific Businesses, Functions and/or Geographies and will work with the Data CIOs and Data Officers and their respective teams as needed. The Role The data modeler designs, implements, and documents data architectures and data models for ...
... maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern understanding of data pipeline reliability concepts, including idempotency, backfills, and handling late or corrected data ability to structure data systems into clear layers (e.g. ...
... and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role We are looking for a Data & AI Solution Architect to design enterprise-scale solutions using Azure Databricks and modern lakehouse technologies. You will combine architecture leadership ...
What we achieve together As the Tech Lead in a Data Engineering team, you take responsibility for the technical direction of our data platforms (esp. Databricks), ensuring scalability, reliability, and high data quality while making key technical decisions. Together with your team, you implement critical components and ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... professional experience in data architecture or platform engineering, with a proven track record of migrating legacy SAP systems to cloud-native platforms like SAP Datasphere. Deep technical understanding of SAP BDC Datasphere architecture, administration, and hands-on data modeling, paired with strong proficiency in SQL for ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... 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 ...
... The Structured Problem Solver: Proficient in root-cause investigation techniques (8D, QRQC) with a hands-on mindset for analyzing plant failures and diagnostic data (CANalyzer, CANoe, UDS protocol tools). - The Communicator & Facilitator: Excellent technical communication skills, capable of translating complex shop-floor ...
... 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 ...
... w Rumunii oraz Wielkiej Brytanii. Posiadamy również własne R&D Center, które jest miejscem powstawania innowacyjnych projektów m.in.: w obszarach testów, Big Data, Cloud czy AI.W ramach naszych usług tworzymy szyte na miarę rozwiązania, utrzymujemy i rozwijamy nawet najbardziej wymagające systemy IT. Działamy w takich modelach ...
... graph platform, a vital asset that consolidates diverse drug discovery and gene biology data. Responsibilities: Own data quality: Define and enforce data validation, provenance tracking, and quality metrics across all data sources in the graph. Integrate data sources: Collaborate with internal and external data providers ...
... Branża: bankowość Szukamy Data Engineera do rozwoju i migracji warstwy danych w obszarze AML. Kluczowym elementem roli jest budowa i rozwój rozwiązań opartych o Databricks i PySpark, integrujących dane z wielu źródeł oraz rozwój procesów ETL. Zakres obowiązków Rozwój i utrzymanie rozwiązań w Databricks z wykorzystaniem PySpark. ...