ETL Jobs

### 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. ...

We are seeking a highly skilled Azure Data Engineer to design, develop, and maintain robust data solutions on the Azure platform. This role requires strong technical expertise in Azure Data Engineering services and hands-on experience with Azure Kubernetes Service (AKS). Requirements: • Proven experience as an Azure Data Engineer with end-to-end data solutions • Strong proficiency in Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics • Hands-on experience with Azure Kubernetes Service (AKS) - this is essential • Solid experience in SQL programming and Python scripting • Experience with ETL processes, data modeling, and data warehousing concepts • Familiarity with version control systems (Git) and DevOps pra...

We need an experienced Azure Data Engineer to design and implement robust data solutions on the Azure platform. You'll work on ETL processes, data analytics, and collaborate with cross-functional teams to deliver scalable data engineering solutions. Requirements: • Strong experience with Azure Data Factory (ADF) for ETL processes • Proficiency in Azure Databricks for advanced analytics • Hands-on experience with Azure Data Lake Storage (ADLS) • Experience with Azure Synapse Analytics for real-time analytics • Strong SQL skills for querying and database optimization • Python programming for scripting and automation • Experience with data modeling and data warehousing concepts • Excellent communication skills to work with stakeholders • Bach...

We need an experienced Informatica BDM developer to join our team for full-time contract work supporting data engineering and ETL development projects. Requirements: • 7+ years of experience with Informatica Data Engineering, DIS and MAS • Strong expertise in Databricks and Hadoop ecosystems • Proficiency with relational SQL and NoSQL databases (Azure Synapse, SQL Server, Oracle) • Experience with major cloud platforms (Azure, AWS, or Google Cloud) • Knowledge of Agile methodologies and tools like SCRUM, TFS, and JIRA • Advanced SQL skills including T-SQL and PL/SQL • Experience building and optimizing big data pipeline architectures • Hands-on experience developing both batch and real-time workloads • Knowledge of Data Lake and dimensional dat...

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 ...

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...

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 ...