Job Type: Permanent Department Enterprise Data & Analytics Team Level Grade-2 We're proud to have been helping our clients build better financial futures for over 50 years. So, join our Data Value team and feel like you're part of something bigger. Enterprise Data and Analytics team comprises of Fidelity's MI and Analytics ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.NTT DATA endeavors to make accessible to any and all users. ...
... to surface executive-level insights ETL Pipeline Governance: Supervise the development and continuous execution of data pipelines using SSIS, SSAS, or modern data orchestrators Data Quality Assurance: Maintain ownership over data modeling, transformation structures, SQL views, and procedures to guarantee data validity. ...
... community. 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. - 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. - Strong hands-on architectural experience — able to ...
... optimization (DPO, 1x centralization). - Lead a team of specialists/analysts and drive portfolio execution against business targets for these pillars: - o Master Data & Vendor Master: Standardize and govern supplier, vendor, item, and contract master data; own data quality, validation rules, and de-duplication to maintain a ...
Description We are seeking a skilled Blister Machine Operator to join our team in India. The ideal candidate will have 3-5 years of experience in operating blister packaging machinery, ensuring that production runs smoothly and efficiently. Responsibilities Operate and monitor blister packaging machinery to ensure efficient ...
... De-duplication of Masters Lead data migration and cutovers in SAP S/4HANA projects (Greenfield, Migration, or Rollouts). Establish and implement MDM best practices and data management capabilities. Define data management principles, policies, and lifecycle strategies. Monitor data quality with consistent metrics and reporting. Work ...
... implementations. - Strong understanding of customer data mastering and HCP/HCO data models. - Advanced proficiency in SQL, preferably in Snowflake or similar cloud data platforms. - Experience with Salesforce, Veeva CRM system integrations. - Knowledge of data warehousing, ETL processes, and analytics/reporting tools. - Strong ...
... for - 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. - 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. - Strong hands-on architectural experience — able to ...
... Synapse within Microsoft Fabric.- Architect and oversee data pipelines, dataflows, notebooks, and event-driven workloads.- Collaborate with enterprise architects, data engineers, BI developers, and business users to align solutions with business needs.- Define data modeling standards, naming conventions, and best practices for ...
... Synapse within Microsoft Fabric.- Architect and oversee data pipelines, dataflows, notebooks, and event-driven workloads.- Collaborate with enterprise architects, data engineers, BI developers, and business users to align solutions with business needs.- Define data modeling standards, naming conventions, and best practices for ...
... solutions that power our marketing analytics, reporting infrastructure, and data pipelines. This role is ideal for someone who thrives at the intersection of data, design, and business insights — someone who can visualize complex data relationships, understands data flows, and drives the development of intuitive, impactful ...
... operations. Collaborate with Compliance, Legal, Information Security, and business stakeholders to ensure data processing activities align with applicable privacy and data protection obligations. Support the implementation, monitoring, and continuous improvement of data privacy controls related to the collection, use, storage, transfer, ...
... dashboard migration and embedded analytics. Knowledge exposure to Other BI tools: Experience with other BI tools such Tableau or Qlik Sense will be added advantage. Data Engineering Collaboration : Collaborate with Data Engineers to align with data pipelines, validate source-to-report logic, and ensure data accuracy across layers ...
... Professional & Technical Skills: Must To Have Skills: Proficiency in Snowflake Data Warehouse. Strong knowledge of data warehousing concepts and cloud-based data storage solutions. Experience in designing and optimizing data models for performance and scalability. Ability to write complex queries and perform data transformations ...
... at the precipice of the GenAI revolution, but the biggest bottleneck isn't the models, it's the data. you are stepping into the critical layer of the modern data stack that powers the AI economy. We are the Data Fabric that enables industry titans like LinkedIn, DoorDash, and J&J to turn messy, siloed data into ready-to-use ...
... PySpark Experienced in Azure Data bricks, Azure Blob Storage, Azure Data Lake, Delta lake. Experience working with Spark SQL Experience in creating pipelines and databricks dashboards Experience with Azure cloud environments Experience with acquiring and preparing data from primary and secondary disparate data sources Experience ...