About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...
... existing and building new AI products for a vast amount of uses cases across Linde's business and value chain You will work directly with a variety of different data sources, types and structures to derive actionable insights Develop, customize and manage AI software products based on Machine and Deep Learning backends will ...
... systems for ensuring data accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data ...
... experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency in developing, deploying, and debugging data-objects, and data transformation pipelines. ○ Expertise in data analysis methodologies ○ Exposure ...
About this Position The Data Engineer supports the development and operation of Henkel's enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a ...
... work closely with both Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making. This position is ideal for engineers with a strong data foundation who are looking to apply their ...
... . Good team player . Interest in technologies and innovation . Knowledge of formalisation and communication tools (MS Office - MS SharePoint) . Knowledge of statistical and datamining techniques (SAS, SPSS, VBA, ACCES) or SQL database languages . Proficient in English . Perfectly at ease in a multi-cultural environment
... programming. ● Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data. ● Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level ...
... & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in performing data extraction, data transformation, building and managing data pipelines to ensure data availability for ML & LLM ...
... 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 ...
The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...
... science, Information Security, or related field. - Relevant certifications such as CISSP, CEH, or OSCP are a plus. Responsibilities - 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. - Experience with DSPM tools and integration in hybrid environments. - Familiarity ...
Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security Services Minimum 7.5 Year(s) Of Experience Is ...
... experience preferred. - Implement data transformations and data structures for data warehouse and lake/repository. - Manage cloud and/or on-premises solutions for data transfer and storage. - Process data using spark (PySpark) - Manage cloud and/or on-premises solutions for data transfer and storage. - Collaborate and work with ...
... Skill Area - Cortex AI, Semantic Data, Snowpark & Modern Data Platforms The opportunity Build and operate enterprise-grade Data & AI platforms using Snowflake AI Data Cloud. The role focuses on Snowflake data engineering, reusable platform patterns, semantic data products, governed AI-ready datasets, APIs, enterprise service ...
Join Data Eminence as a remote Data Engineer and help build reliable data pipelines and infrastructure that power analytics and business decisions. You'll work with databases, ETL processes, cloud platforms, and data processing technologies to collect, transform, and organize data. Ideal for entry-level candidates with ...
... Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance initiatives Configure workflows ...
... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...