Hadoop Jobs

My current workload centers on Oracle Data Integrator (ODI) projects that pull data from APIs and other cloud services into Oracle Cloud Infrastructure. I need practical, hands-on support to strengthen three areas: 1. Building a reusable Oracle Data Quality (DQ) Framework that plugs neatly into OCI Data Integration. 2. Automating the ETL workflow in ODI—from source ingest through load—so every run is fully tested without manual intervention. 3. Embedding robust data-validation checkpoints throughout the pipeline to ensure accuracy, completeness, and early error detection. You will be working exclusively in the ODI ecosystem, orchestrating API-driven loads, and codifying data-quality rules that can be triggered automatically. Reusable test cases, clear logging, and easy-to...

I have an anonymised set of internal company emails that must be routed automatically to the correct department—Human Resources, Finance or IT Support. I am looking for an engineer who can take the project from raw data through to a Docker-ised REST service. The workflow I expect is: • Data preparation: strip any residual PII, apply consistent labelling for the three target departments, and document the pipeline so it can be rerun when fresh mail arrives. • Modelling: start with a TF-IDF + SVM baseline, then fine-tune transformer models (BERT or RoBERTa via Hugging Face). Compare approaches and capture precision, recall and F1 for each class. An error analysis explaining common misclassifications is essential. • Deployment: package the best model behind a FastAPI...

I am scheduled to sit the system-based SAP BTP CAPM certification exam on the latest version of the platform and need it taken for me from start to finish. The test spans the full syllabus—core concepts, advanced techniques, and integration scenarios—so I’m looking for someone thoroughly familiar with the current CAP model, CDS, Fiori elements, Node.js/Java runtimes, and the overall BTP landscape. You will receive: • My authorised exam access on the scheduled date • All study guides, sample questions, and reference notes I already have Your responsibility is to connect, complete every section confidently, and secure a passing score that issues the official certificate in my name. Proof of success—exam transcript or digital badge—will be the final...

We are looking for a highly skilled Senior Data Engineer with 8+ years of experience in designing, developing, and modernizing enterprise-scale data platforms. The ideal candidate should have strong expertise in Google Cloud Platform (GCP) and hands-on experience building scalable data pipelines, data migration, and modernization initiatives. Key Responsibilities Design, develop, and optimize end-to-end data pipelines on Google Cloud Platform (GCP). Build and maintain scalable ETL/ELT solutions using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Composer. Lead data modernization and migration projects from legacy/on-premise systems to GCP. Implement data integration, transformation, and orchestration processes for large-scale datasets. Ensure data quality,...

The Data Engineer is responsible for designing, constructing, and maintaining the systems and infrastructure required to process and analyze large volumes of data. This role will work closely with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and processed efficiently. The Data Engineer will also develop and implement data pipelines, perform data quality checks, and optimize data storage and retrieval. Develop and maintain KPIs, metrics, and dashboards by leveraging diverse datasets. Ensure data quality and integrity through data validation, cleansing, and error handling. Design and implement back-end processes using data warehouse modeling techniques. Build and optimize ELT pipelines to capture and transform data for analytics and reporting. P...

Cuento con experiencia en programación y deseo llevar mis habilidades de análisis de datos al siguiente nivel. Necesito que un especialista me capacite de forma práctica y estructurada en migración de datos hacia la nube, con enfoque intermedio y usando exclusivamente AWS, la plataforma que ya manejo. Lo que busco: • Sesiones guiadas, en línea, donde revisemos casos reales de migración de bases de datos y procesos ETL desde entornos on-premise a S3, EMR, Athena y DynamoDB. • Explicación paso a paso y mejores prácticas con SQL Server, Integration Services y Analysis Services para preparar los datos antes de moverlos. • Ejemplos de scripts en Python y R que automaticen validaciones y transformaciones dentro de Spark....