ETL Jobs

I’m in the start of a performance-focused data-migration effort that moves our current datasets into Snowflake, with Geneva and straight SQL powering the pipelines. To keep momentum, I need someone who can help on the hands-on analyst work while thinking like a Business Data Analyst. What I still have to finish centres on two areas: • Data extraction and transformation – mapping existing schemas, writing efficient SQL, and using Geneva/Snowflake utilities to cleanse and reshape data so downstream analytics run faster. • Data loading and validation – building repeatable load jobs into Snowflake, designing row-level and aggregate checks, and documenting reconciliation so stakeholders can trust the numbers. Acceptance criteria • Clean, reusable ETL scripts ...

Ausschreibung: Backend-Integration SaaS-Plattform – Oracle & DocuWare (On-Prem) Wir sind ein deutsches SaaS-Startup und bereiten aktuell die erste Enterprise-Integration unserer Plattform vor. Unser erster Zielkunde betreibt seine gesamte IT-Infrastruktur On-Prem mit zwei Kernsystemen: - Oracle-Datenbank – Stammdaten - DocuWare – Dokumenten-Management-System Wir suchen einen erfahrenen Freelancer, der uns dabei hilft, eine minimale, lesende Anbindung dieser beiden Systeme an unsere Cloud-Plattform ( / Supabase / Vercel) zu konzipieren und umzusetzen. Was wir uns vorstellen: - Read-only-Zugriff auf Oracle (JDBC, ORDS/APEX oder Staging-Schema) - Zugriff auf DocuWare-Dokumente via REST API (ContentServer API) - Nightly Delta-Sync oder On-Demand-Pull – je nach ...

Senior Data Pipeline / ETL Engineer (FastAPI, PostgreSQL, OpenSearch) – Build MVP Data Ingestion Pipeline for Financial Intelligence Platform Overview We are building a financial intelligence infrastructure platform that aggregates global corporate registries, sanctions lists, and ownership data to produce compliance-grade investigative reports. The GitHub repository, architecture documentation, and core backend services already exist. What we need now is a senior data pipeline engineer who can complete the data ingestion and normalization pipeline so that our MVP feature works perfectly. The primary MVP workflow is: Search a person or company → resolve the entity → check sanctions exposure → reconstruct ownership relationships → produce an evidence-backed re...

Project Overview We are building an analytics module for an industrial tracking system (SINTRA). The system tracks assets (e.g. pallets) using smartphone-based 3D positioning (X, Y, Z). We already collect high-frequency data (time-series in InfluxDB). Goal: Build a Stability Analysis Dashboard to evaluate: data quality tracking stability device & zone performance detection issues ⚠️ Important Architecture (Must Follow) This project has a strict split: Backend / ETL (YOU BUILD) all calculations (jitter, jumps, gaps) scoring (0–100) classification (GREEN / YELLOW / RED) aggregations (1 min, 5 min, etc.) Grafana (YOU BUILD) dashboards charts tables filters alerts ❗ No business logic in Grafana ScopeETL / Backend process time-series data (x, y, z, timestamp) calculate: jitt...

Our CRM holds thousands of customer records, yet the demographic fields are in various free-form formats that make reporting unreliable. I need those demographic details—specifically age and gender—brought into a single, agreed-upon structure: age recorded strictly as a number, gender stored as clear text (“Male”, “Female”, “Non-binary”, etc.). The scope is limited to customer information; contact details and transaction history are already handled elsewhere. Your job is to: • analyse the current values in the age and gender columns, • define a concise mapping that converts every existing variation into the target formats, • implement the transformation (SQL script, Python ETL, or comparable approach that fits with Salesf...