... teams, ensuring every order is processed accurately and every interaction strengthens the customer relationship. You will manage the full order lifecycle—from entry and documentation to shipment tracking and delivery updates—while coordinating closely with sales, factory, logistics, and finance to keep processes running ...
... possess solid Diary Management skills for organizing calendars, meetings, and travel schedules. Candidates should possess reliable Clerical Skills for filing, data entry, document preparation, and basic office administration. Relevant qualifications such as a diploma or degree in business administration or a related field ...
... skills to organize calendars, appointments, and travel arrangements. Candidates should possess reliable Clerical Skills, including document handling, filing, data entry, and basic office administration. Candidates should ideally have proficiency in MS Office or similar productivity tools and strong organizational and time-management ...
Walkin Drive Location- Gate no.1, Sector 75, Teleperformance, Mohali Communicate with customers via phone, email and chat Data entry in various platforms Resolve complex customer queries via live chat platforms. Excellent phone etiquette and excellent verbal, written, and interpersonal skills Flexibility: Must be comfortable ...
... looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All ...
... and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process. Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home Clean and prepare ...
... and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process. Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home Clean and prepare ...
... Data Management/Governance Policies, Procedures, Processes, Standards and Control Providing inputs and recommendation on Data practices, Data definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand ...
... /Suppliers/Manufacturers Preferred Skills And Experiences High level experience on PCB, Wiring harness & Power cords manufacturing process, cycle time and MHR data. Should be able to comprehend PCB and wiring design drawings and conclude cost based on the design inputs. Work on global assignments and exposure with outside ...
... claims ratios—into technical specifications. Code Quality: Participate in peer code reviews and maintain documentation to ensure the long-term health of our data warehouse. What You Will Bring As A Data Warehouse Engineer - 3+ years of professional data engineering experience, specifically within cloud-based data warehouses. ...
... consultants, business analysts, and external partners. SAP C4C (Cloud for Customer) CRM flow understanding and integration patterns. Experience working with SAP Master Data Integration (MDI) for managing shared master data across systems. Familiarity with SAP Identity Authentication Service (IAS) for SSO and identity provisioning. ...
... insights. - Manage data connections and publish governed data sources through Tableau Server/Cloud . - Configure appropriate security, user access, permissions, and data-source settings. - Ensure data accuracy, integrity, consistency, and governance across BI assets. - Troubleshoot dashboard, data, performance, and connectivity ...
... Strong understanding of supervised and unsupervised ML algorithms. - Hands-on experience with model deployment tools such as Docker, Flask, FastAPI, or cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.). - Proficiency in working with structured/unstructured data, SQL. Added Advantage: - Experience in Computer ...
... Proficiency in SQL and data modeling. - Strong understanding of ETL processes, data warehousing, and data governance principles. - Experience building and managing data-intensive or distributed applications. - Experience designing and operating APIs, services, and workflow-based systems. Good to have - Experience with Go & Python ...
... & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... data assets.- Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor complex workflows.- Apply CI/CD and Git-based workflows for version-controlled, automated deployments.- Collaborate with data analysts, data scientists, and architects to deliver clean, validated datasets.- ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...