... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...
... evaluation and access-control scenarios by executing and analyzing API requests and responses.- Working knowledge of modern data and analytics platforms, including Databricks, Snowflake, and Azure Synapse Analytics.- Familiarity with data platform architectures, as a significant portion of client applications and data solutions ...
... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...
A Senior Data Engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Monitors data platforms activity, code and resource usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures ...
... : - Define and enforce the enterprise-wide MDM strategy, standard operating procedures (SOPs), and data governance models.- Establish a RACI matrix detailing data ownership and stewardship across plant operations and corporate functions.- Lead the Data Governance Council to review data quality metrics, align stakeholders, ...
... Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. Troubleshoot and resolve issues related to data pipelines and applications. Contribute to documentation of data pipelines and system architecture. Stay up-to-date with the latest Big Data technologies and trends. ...
... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...
... integrations between Datasphere, SAP systems, and non-SAP platforms including Azure-based data environments.- Define integration architecture, connector strategy, and data movement patterns for new business initiatives.- Enable and optimize SAP Analytics Cloud (SAC) connectivity with Datasphere and BW/4HANA environments.- Partner ...
... leader and technical expert within the analytics organization — setting the bar for analytical excellence, pioneering new methodologies, and shaping the long-term data strategy across one or more studios. You will identify and formalize the most complex, ambiguous problems to understand user behavior at scale. You'll create ...
... solution designs and ensure data science insights translate into robust, production-ready systems. - The Alexa Smart Home Decision Sciences team provides the data and analytical foundation that powers insights across our rapidly growing smart home ecosystem. We work with data from millions of connected devices, customer ...
... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...
... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...
... Enterprise Integration.- Strong expertise in Enterprise Data Architecture, Data Governance, Master Data Management (MDM), Metadata Management, Data Modeling, Data Quality, Data Lineage, and Data Lifecycle Management.- Hands-on experience designing enterprise data platforms for Business Intelligence, Analytics, Reporting, ...
... multi-threading, routines, network programming, and object-oriented methodologies - Agile Development Model with CI/CD, Jenkins pipeline, and Git environment Data Management and Messaging - Database concepts and deployment models: RDBMS, NoSQL, PostgreSQL, Redis, MariaDB - Messaging services such as RabbitMQ and Kafka - ...
Head of Practice, Data and AI Job Description Job Description Multi-Market engineering unit of BGSW provides services to Bosch consumer goods, industry, healthcare and energy business units and Global customers. Multi-Market unit hosts robust engineering capabilities and strong technology horizontals like Data and AI, Applications ...
... one SDLC Methodology process (Waterfall, Agile or other similar)- Must have a minimum of 2 years industry experience with enterprise Oracle environments, SQL databases, extraction tools, and data mapping tools.- Business Analyst with excellent written and communication skills to interact with the business end users to drive ...
... and Data Integration Data Modeling and Database Design Data Warehousing Principles Analytics and Reporting Solutions Hands-on experience with: Tableau Power BI Data Visualization and Reporting Platforms Experience with relational and multidimensional databases, including: JEDOX Anaplan TM1 Infor Essbase Advanced proficiency ...
... customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. 6+ years of Advanced Analytics experience with a Masters ...
... data architectures that power analytics, reporting, AI, and business decision-making across global business functions. Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data. Build and manage modern cloud-based data platforms, data lakes, and data warehouses. Ensure ...