ETL Jobs

We are seeking an experienced Data Engineer to build and maintain scalable, high-performance data pipelines and infrastructure for our next-generation data platform. The platform ingests and processes real-time and historical data from diverse industrial sources such as airport systems, sensors, cameras, and APIs. You will work closely with AI/ML engineers, data scientists, and DevOps to enable reliable analytics, forecasting, and anomaly detection use cases. Shape Major Skills : Spark, Flink, Iceberg Key Responsibilities · Design and implement real-time (Kafka, Spark/Flink) and batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation. · Develop data models and manage data lakes and warehouses (D...

Results-driven Senior Data Analyst with 8+ years delivering enterprise data solutions across Banking, Financial Services, and Healthcare. Specialized in end-to-end Data Warehouse design, ETL pipeline development, and BI reporting. Core Expertise: Snowflake, Azure Data Factory, Azure Synapse, Delta Lake, PySpark, SSIS, T-SQL, PL/SQL, Oracle, MySQL, Power BI, DAX, Tableau, SSRS, Star/Snowflake Schema, EDW Design, Data Mart Development, Data Lineage, Gap Analysis. Compliance & Governance: HIPAA, GDPR, SOX Audit Controls, Data Quality Frameworks, Data Governance Policies. Business Analysis: BRD/FRD Writing, JAD Facilitation, UML Diagrams, Stakeholder Management, Agile, Waterfall. Certifications: Microsoft Azure Fundamentals, Salesforce Administrator, Salesforce Platform Developer I. Analyt...

I need my current MicroStrategy ONE environment (version 19.4) lifted to the most recent release, with the clear objective of gaining noticeably improved performance across the platform. Once the environment is running on the latest build, five medium-complexity dashboards focused on customer data must be designed and published. Upgrade scope • Review and document the 19.4 configuration, repositories, and security model. • Execute the server, metadata, and Workstation upgrades, validating each step until all services run on the newest version. • Re-point existing connections and certify that report execution times meet or exceed previous benchmarks. Dashboard scope Each dashboard will present customer data using the full range of visualization styles we rely on&mda...

Flux Hub is an operational data ecosystem for mid-market companies (€2M–€50M revenue). We are building a rapid-response freelance pool for ongoing client projects. We need freelancers in these roles: Role What you will do BI / Looker Studio Developer Build dashboards, ETL pipelines, data blending Data Analyst (SQL + Python) Data cleaning, transformation, exploratory analysis No-code Specialist (Make / n8n) API integrations, workflow automation ML Engineer (light models) Time series forecasting, predictive maintenance Requirements: Proven portfolio (attach links or files) Response time under 12 hours Fluent English (technical documentation level) Ability to sign NDA What we offer: Regular project flow (starting 1–2 projects per month) Fast payment (within 5 da...

I need automated dashboards built in Tableau that pull our sales and expense data directly from our existing spreadsheets and accounting system. The key focus is a clear, interactive view of sales by region alongside salaries & wages so management can spot trends quickly without manual reporting. Source files arrive weekly, so the solution must refresh on a schedule with zero manual intervention. If you can streamline the data prep inside Tableau Prep or a similar ETL step, even better. While the initial scope covers sales-by-region and salary costs, I’m open to expanding to other metrics (total revenue, marketing spend, etc.) once the core framework is stable. Acceptance criteria • One Tableau workbook containing:  - Sales dashboard showing regional breakdowns, d...

I am building a decision-support tool that acts like an investment banker for hospital deals. The workflow starts with raw historical statements—revenue, profit, cash flow, debt and related line items—pulled in from spreadsheets or a database. I need this data to be cleaned and validated automatically so that outliers, missing values and inconsistent formats are handled without manual intervention. Once the dataset is in shape, the system must calculate core ratios—operating and EBITDA margins, liquidity and leverage indicators, year-over-year growth rates, cash conversion, risk flags—and feed them into a machine-learning pipeline. I have no fixed allegiance to any one algorithm, but I would like to begin with a solid linear regression benchmark and keep the door...

### Project: Enterprise Data Warehouse & Analytics Optimization **Role:** Data Analyst **Project Overview:** Led the design and optimization of a scalable enterprise data warehouse and automated ETL workflows to enhance data accessibility and analytical efficiency for high-volume business datasets. **Key Contributions:** - Engineered **PLX-based ETL pipelines** to streamline ingestion and reduce turnaround time. - Automated query scripts, cutting data processing time by **50%** and accelerating insight delivery. - Unified multiple monthly data tables into integrated workflows, improving system efficiency. - Implemented **data quality frameworks**, reducing reporting errors by **90%**. - Collaborated cross-functionally to ensure data accuracy and actionable insights. ...

Analista de datos / Business Intelligence Buscamos a un perfil de analista de datos, con capacidad para entender las necesidades del cliente, explorar las fuentes de datos existentes, definir KPIs de negocio a partir de los dos puntos anteriores y validar los resultados obtenidos. En nuestros proyectos, el tratamiento del dato casi siempre tiene algún elemento poco convencional: detectamos patrones con Machine Learning, reconocemos objetos en imágenes, sintetizamos información mediante AI (Inteligencia Artificial) y modelos LLM, ¡e incluso trabajamos audio! No se precisa conocimiento en detalle de todas estas tecnologías, sino entender la implantación de soluciones de datos de principio a fin y pueda coordinarse con otros compañeros para ...

Sou profissional sênior de Tecnologia da Informação com mais de 14 anos de experiência, especializado em Engenharia e Arquitetura de Dados. Ao longo da minha carreira, atuei na estruturação e modernização de ambientes de dados, sempre com foco em performance, escalabilidade e geração de valor para o negócio. Tenho forte experiência com SQL Server, Oracle e MySQL, além de atuação sólida em processos de ETL/ELT com Pentaho e desenvolvimento de dashboards estratégicos em Power BI. Também possuo conhecimentos em Azure e venho evoluindo em tecnologias modernas como Databricks e arquitetura de dados em nuvem. Na Accenture, liderei iniciativas de otimização de p...