Big Data Sales Jobs

I need a robust big-data workflow that will let me uncover how customers across Latin America actually buy. The primary aim is to analyze customer behavior, zeroing in on purchase patterns. For phase one the only source on hand is a wide set of structured and unstructured customer surveys gathered in Spanish and Portuguese markets. The job is to clean, standardize, and load these surveys into an environment that supports high-volume processing (Spark, Hadoop, or an equivalent cloud stack you favour). Once the data is stable, I want exploratory analysis, clustering, and predictive modelling that highlight: • Which demographic segments purchase which categories most frequently • Seasonal or regional spikes in demand • Correlations between stated preferences and actual...

Bank Loan ETL & Visualization Project Report 1. Abstract This project builds a complete ETL (Extract, Transform, Load) pipeline for bank loan analytics using PySpark and Python. It cleans, validates, and integrates branch, customer, and loan datasets into a unified master table. The pipeline standardizes financial data, generates analytical insights, and prepares the output for reporting and automated financial analysis. 2. Technologies Used Python PySpark Pandas Matplotlib CSV Files Java JDK (required for Spark) 3. Dataset Description This project uses three CSV datasets: – Branch details (branch_id, branch_name, branch_state) – Customer demographic information – Loan records linked to customers and branches 4. ETL Workflow The pipeline includes the following st...

Project Overview: We are looking for an experienced Machine Learning Engineer specialized in audio processing and deep learning. The goal is to design, train, and deploy a high-performance AMD (Answering Machine Detection) model for telephony, using an existing dataset of approximately 67,000 labeled audio samples. The model must operate in real-time with low latency, and integrate into our existing calling infrastructure (Drachtio / Asterisk / FreeSWITCH / Vicidial). Mission Responsibilities: Analyze and preprocess the existing dataset (cleaning, balancing, train/val/test split) Extract audio features such as Mel-spectrograms, MFCC, STFT, normalization Design and train a CNN/CRNN model for AMD classification (Human / Voicemail / Silence / Fax / Other if needed) Optimize the model for...

I have an existing SAS program that handles end-to-end data processing for a single SQL Database source. The code cleans raw tables, applies a series of transformations, then produces several aggregated outputs that feed downstream reports. I now need the entire workflow re-implemented in PySpark running on Azure Databricks so I can retire the SAS environment and take advantage of Databricks’ scalability. You will receive: • The original .sas files with inline comments that explain each step • A data-dictionary of the SQL tables involved • Sample input/output datasets to verify parity What I’m expecting from you: 1. A well-structured Databricks notebook (or .py files) that reproduces the SAS logic for data cleaning, transformation, and aggregation. ...

I’m looking for a data-savvy partner who can turn my raw numbers into clear, actionable guidance that streamlines our internal processes. I have the data ready to go; what I need is a thorough analysis that highlights inefficiencies, pinpoints bottlenecks, and shows exactly where we can save time or money. You’ll be free to work in the environment you’re most comfortable with—Python (pandas, NumPy), SQL, R, or even a well-structured Excel or Power BI setup—as long as the final output is easy for my team to understand and replicate. A concise summary of your methodology, all cleaned datasets, and a visual or written report of the key insights will round out the hand-off. If you’ve previously optimized workflows or operations through data-driven insi...

I'm seeking an experienced ETL developer to help with data extraction and loading from database systems into Google Cloud. Key Tasks: - Set up and configure Google Cloud environment for ETL processes. - Extract data from various database systems (specific ones to be confirmed). - Load extracted data into Google Cloud storage or specified destination. Ideal Skills and Experience: - Proficiency in Google Cloud services, especially for ETL. - Strong experience with database systems, particularly MySQL, PostgreSQL, and Oracle. - Familiarity with ETL tools and data pipeline development. - Knowledge of data security and compliance in cloud environments. - Ability to troubleshoot and optimize ETL processes. Please provide examples of similar work done and your approach to ensure data int...

I need help converting raw datasets into my custom ERP schema. The work is mainly data cleaning, field mapping, and formatting the output into CSV/JSON that I will use for seeding into my backend system. Your Tasks • Parse source data (CSV / Excel / XML) • Clean, deduplicate, and normalize fields • Map source fields to my target schema (I will provide the mapping rules) • Convert data types, fix inconsistencies, standardize formats • Output final data as structured CSV/JSON ready for import Skills Required • Strong Python (Pandas) • Experience with ETL or data transformation • CSV/JSON/XML parsing • Ability to follow a mapping specification • Good communication and attention to detail Deliverables • Cleaned and mapped CSV...

I’m putting together a structured learning track for a small team of junior analysts who are stepping into data engineering roles, and I need an experienced trainer to lead it. The focus is squarely on three pillars—data warehousing fundamentals, end-to-end ETL process design, and modern big-data technologies (think Spark, Kafka, and cloud-native tooling). I’m aiming for an intermediate depth: the group already writes SQL and basic Python, so we can skip the absolute basics and dive straight into best-practice architectures, performance tuning, and hands-on lab work. All sessions will be delivered live over Zoom or a similar platform, ideally in two-hour blocks spread across several weeks. I’ll need you to supply concise slide decks, lab exercises that can be run o...