... 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 ...
... to have Background in the manufacturing or engineering industries, especially in areas such as quality assurance or supply chain analyticsExperience with SAP Datasphere, SAP Data Intelligence, or related modern SAP integration toolsKnowledge of advanced visualization platforms like Tableau or Power BI in addition to SAC ...
Dla naszego klienta - dużej firmy z branży ubezpieczeniowej - poszukujemy osoby na stanowisko Data Warehouse / BI Analyst. Projekt polega na rozwoju rozwiązań analitycznych wspierających obszar ubezpieczeń majątkowych. Zakres odpowiedzialności: Projektowanie i rozwój rozwiązań analitycznych w obszarze hurtowni danych i ...
Business Intelligence Developer https://jobeax.com/link/1XpleLK2uqi4s831 is a mobile marketing and audience platform. https://jobeax.com/link/1XpleLK2uqi4s831 empowers the mobile app ecosystem and simplifies mobile marketing, audience building, and mobile monetization. https://jobeax.com/link/1XpleLK2uqi4s831's direct integration ...
... successful candidate will have: - Strong understanding of data engineering principles, including ETL/ELT, data modelling, transformation, lifecycle management, master data management, data warehousing, data lakes and enterprise data architecture. - Experience designing scalable, resilient and secure Azure-native data ingestion, ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
... ASAP Project scope: Build and optimize modern data platforms on Azure and Databricks 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 ...
... processes, as well as functional and technical knowledge of existing solutions Analyse data models and assess how data is consumed by development teams Verify whether data structures, data flows, and available data meet business requirements Support ETL/data processing, data validation, and data testing activities from an analytical ...
... prompt engineering to accelerate data discovery and streamline documentation. What We’re Looking For Essential - At least 2 years of experience in a professional data analyst role. - A degree in a numerate discipline (such as mathematics, statistics, economics, data science) or equivalent practical experience. - Advanced proficiency ...
... 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 ...
... 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 ...
... Identify new opportunities for data-driven growth and champion data-based decision-making across the organization Requirements Minimum 5 years of experience as a Data Scientist Strong proficiency in SQL – ability to write complex queries, join large datasets, and prepare data for modeling Proficiency in Python (libraries such ...
... work. •2 years experience as a data modeller or 5 years experience of working with data in data warehouses. •Data quality management experience. Desirable Experience: •Experience of non-tabular data and event-based data processing. •Understanding of data lifecycle management. •Experience of working with data in Databricks.
... to S/4HANA, - The role will operate within the Master Data workstream, across data domains (vendor, customer, material), under the supervision of the Vendor Data Domain Lead. Responsibilities: - Assess the scope and complexity of risks related to master data integration with Edge systems, raise awareness, and ensure proper ...
... activity (scoping the change work, planning its implementation), fulfil arrangements with impacted interfacing parties, assessment of service/customer impact. Data analysis and building business data intelligence in the environment of Microsoft SQL and Oracle Requirements: Master’s degree and standing experience in the area ...
... Data Analyst Responsibilities: • Participate in data and finance-related projects delivered on cloud platforms • Support data validation and ensure delivered data meets business quality expectations • Contribute to data modeling activities (e.g. logical and dimensional models) • Analyze financial datasets and support definition ...
... modern data solutions, data products, AI-ready data platforms, and AI use cases based on data to optimize our clients' data utilization and sustainably strengthen data-driven decision-making. Responsibilities Support in the design and implementation of robust and scalable data products, data architectures, and AI–ready data ...
We are looking for an experienced Senior Data Architect to join a strategic data transformation initiative focused on building and governing a modern Azure-based Data Platform that supports enterprise-wide data products, analytics, and reporting. Your tasks Define and govern end-to-end Azure data architecture, including ...
Core Technology Systems Limited seeks a Data Engineer to design, develop and deliver modern data platforms using Microsoft Fabric, Databricks and the Azure data ecosystem. You will work with stakeholders to translate requirements into scalable lakehouse architectures and drive incremental data processing. This role requires ...
... opportunity into a customer engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics ...