Vânzări Big Data Jobs

I am making a fast-track move into data engineering and need an experienced tutor who can work with me right away. Our first deep-dive will centre on Apache Iceberg; once I am comfortable there we can branch into Spark or Kafka if that helps reinforce the concepts. The practical objective is to design and build production-ready ETL pipelines from ingestion through transformation and loading. I will be practicing on both AWS and Azure, so please be comfortable switching between the two clouds and showing me the platform-specific nuances of storage, compute and orchestration services. Sessions should be highly hands-on—screen sharing, live coding, short homework labs and code reviews rather than slide decks. My target is to complete the learning path progressively by the end of the y...

I need a concise descriptive analysis of the data currently stored in my relational database. The tables are already structured and populated; what I lack is a clear, statistics-driven snapshot that highlights key totals, averages, distributions, and any obvious trends or anomalies. You’ll connect directly to the database (credentials supplied after award) and: • explore table relationships and data quality, • run summary statistics and frequency counts, • create straightforward visualizations—think bar plots, histograms, heat-maps—that quickly communicate the story behind the numbers, • package everything into a short, well-commented Jupyter Notebook (or SQL script plus slides, if you prefer) so I can reproduce the results at any time. Plea...

I’m ready to move from concept to production with an AI-driven system that combines natural language processing, predictive analytics and a set of custom-built models. The high-level goal is to ingest varied data sources, understand text at scale, uncover actionable patterns and expose the results through clean, well-documented APIs that my in-house developers can extend. Here’s what I need from you: • Model design and training – choose the right architecture (transformer, LSTM, hybrid, etc.) and justify it in a brief technical note. • End-to-end NLP pipeline – data cleaning, tokenisation, entity extraction and sentiment or intent classification. • Predictive layer – supervised or unsupervised techniques that surface trends and generate fo...

I have a customer database suffering from three critical quality problems—missing values, duplicate records, and flat-out incorrect fields. I need an experienced data professional to diagnose the root causes, fix the existing errors, and set up preventive checks so the same issues do not creep back in. The raw data is already exported to CSV and can be shared immediately. You are free to use the tools you know best—Python (pandas, NumPy, fuzzy-wuzzy), SQL, Power Query, Talend, OpenRefine, or even a combination—as long as the result is a clean, validated customer dataset ready for direct upload into our CRM. Deliverables • Cleaned customer data file in the original schema • A concise log or script showing every transformation step for reproducibility &bul...