... and operate scalable data platforms and pipelines supporting analytics and machine learning use cases. You will transform raw data into reliable, high-quality data products and contribute to architectural and platform-level decisions. - Design and implement batch and streaming data pipelines. - Integrate data from databases, ...
... 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 ...
... minimal supervision. - Strong scripting/automation skills (e.g., Python, PowerShell) and experience with APIs and system integrations. - Working knowledge of data classification concepts, structured/unstructured data, and enterprise data flows. - Understanding of data protection regulations and compliance frameworks (e.g., ...
... 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. ...
... knowledge of your industry and first-hand experience of defining its https://jobeax.com/link/rWNyTjsxeUNWMUjV, Kraków, Poznań, Wrocław, Gdańsk# Senior Google Data Engineer## **Your Role:**As aGoogle Data Engineer, you design, build, and maintain scalable data platforms and pipelines on Google Cloud. You work with large ...
... into data engineering solutions. • Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and processing using Azure services, Databricks, IICS, and Azure Synapse. • Develop advanced transformation logic in Databricks and IICS to support complex business use cases. • Knowledge of modern Data ...
... we'd love to meet you! ABOUT THE ROLE WHAT YOU WILL DO - Validate that mandatory product data across core systems is complete and accurate; - Upload product data into the PIM system and resolve data gaps with stakeholders; - Support business teams with product data usage issues; - Clarify and communicate data requirements ...
... full product data lifecycle, this is for you. WHAT YOU WILL DO - Validate product data across core systems to ensure completeness and accuracy; - Upload product data into PIM systems and resolve data gaps with stakeholders; - Support business teams with product data issues across channels; - Communicate data requirements to ...
... 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 ...
... reports of data flow and data quality metrics, operational statuses, and catalog operationsGuide implementation team efforts in integration and harmonization of data from different sources, construction of analytical data products (including real-time streaming analytical data products) on its basis within the data platform, ...
... client - a governed data access management system built on Azure Databricks and Unity Catalog. The platform handles provisioning and lifecycle management of data infrastructure objects at scale, serving as a critical layer between the business and its Data Lake. This is a role for an engineer who thinks before coding. ...
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 ...
... we'd love to meet you! ABOUT THE ROLE WHAT YOU WILL DO - Validate that mandatory product data across core systems is complete and accurate; - Upload product data into the PIM system and resolve data gaps with stakeholders; - Support business teams with product data usage issues; - Clarify and communicate data requirements ...
... AI-driven analytics use cases such as conversational analytics within the data platform. Conduct ad-hoc analyses and complex analytical projects combining tracking data with additional data sources. Collaborate with cross-functional teams (Digital Business, Marketing, Product, Category Management) to translate data into actionable ...
... direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST API, flat files, Streams, Time series data, SAP Research and utilize Big Data technologies for effective data ingestion Process and transform data using tools such as Spark and various Cloud Services Understand ...
... evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints. Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems. Raise the bar for engineering practices across the Data Science ...
... Tasks Migrate Airflow DAGs and data workflows to ADF Build and maintain data pipelines, transformations, and data models Support and troubleshoot end to end data flows, from source systems to reports Collaborate with Power BI developers and business stakeholders Expectations Strong data engineering experience, including ...
Hitachi Energy seeks an experienced Project Manager to lead initiatives focused on data management and analytics. You will drive delivery, coordinate stakeholders across IT, procurement, engineering, and production, and implement best practices for data maintenance and quality. You will oversee schedules, milestones, and ...