Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...
... Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive ...
... defining test scenarios and assisting business users.- Identify gaps between business needs and SAP Commerce capabilities and propose suitable solutions.- Assist in data migration, integration, and configuration activities.- Perform configuration and Data Management Activities in SAP Commerce Back Office.- Provide training and ...
... 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Data Analyst we’re looking for? Your future role Take on a new challenge and apply your data analytics and process automation expertise in a cutting-edge field. You’ll ...
We have a proven track record of success in providing best-of-breed technology solutions to enterprises of all sizes, including some of the world's largest brands. AVASO offers you an excellent growth opportunity with a strong global company and good money. Website: - We are seeking a detail-oriented and experienced Executive ...
- Build and maintain automated dashboards and BI reports for key product and revenue metrics. - Write advanced SQL queries to analyze large datasets and generate actionable insights. - Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, ...
Qualifications for Data Engineer: - 3+ Years of experience in building and optimizing big data solutions required to fulfill business and technology requirements. - 3+ years of technical expertise in areas of design and implementation using big data technology Hadoop, Hive, Spark, Python/Java. - Strong analytic skills to ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Quality Analyst, you will support the Quality Manager and the broader team in maintaining quality controls, executing calibration reviews, and ensuring smooth auditing operations ...
... vector-based data pipelines for AI and GenAI use cases Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets Build data preprocessing, validation, and quality-assurance ...
... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... solutions for the new requirements. - Coding independently and with other team members with proper software industry standard best practices. - Collaborate with data analysts/ product managers in understanding the data. - Work closely with Data Analysts and QA (Quality Assurance) teams and deliver the product end to end. Qualifications: ...
... with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or GCP and ensure cloud efficiency Requirements: ...
... launch people into space, support lifesaving care in hospitals, and enable the construction of groundbreaking, world scale production facilities. The Digital Technology Applications Analyst – Sell & Retain is a solution‑oriented analyst responsible for supporting and evolving non‑SAP applications and integrations that enable ...
... and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, ...
... yet profitable company. First-rate compensation and benefits package. Open door and highly ethical work culture, with due accountability. A Senior Financial Analyst will be responsible for driving all reporting and analytics efforts for one of the Distribution Portfolios. Financial Analyst will be an integral part of the ...
... user guides. Ensure ITIL best practices are followed across ServiceNow processes. Required Qualifications Bachelor's degree in Computer Science / Information Technology or related field. 5+ years of experience in ServiceNow administration and Service Desk support. Strong experience with ITSM modules – Incident, Problem, Change, ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR master's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ ...