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Contract Data Engineer building data pipelines and ensuring data quality across warehouses and marts, using SQL/T-SQL, API development, and data modeling in Jakarta.
Data Engineer performing ETL operations, data modeling, query testing on large datasets, and ETL monitoring using Bash, Java, or Python for a network monitoring solutions provider.
Build data pipelines from multiple sources into BigQuery Data Lake/Warehouse and create internal dashboards to support BI and data engineering teams at a payment switching company.
Data Engineer transforming data from various sources into modeling-ready datasets for Data Scientists, building custom analytics applications and APIs for cross-system data integration using languages like Python, Java, C#, C, and R.
Data Engineer designing, building, and maintaining a scalable ClickHouse Data Warehouse—including data layers, ETL, query optimization, and Metabase-based BI/analytics reporting for Finance.
The Senior PHP Backend Engineer will develop and maintain a document ingestion and search platform for healthcare users using PHP, MySQL, and OpenSearch. The role involves building APIs, managing data workflows, and collaborating on frontend modernization and AI-backed pipelines.
Зарплата: до 1000000 KZT (на руки) Акционерное общество «Страховая компания «Казахмыс» - одна из лидирующих страховых компаний Казахстана, верный партнер множества Клиентов из различных сфер деятельности и надежный…
Ort: 51063 Köln | Vertragsart: Vollzeit, unbefristet | Job-ID: 951677 Was wir zusammen vorhaben: Wir sind Analytics bei der REWE Group und ein fester Teil des Digital & Technology Teams. Gemeinsam bringen wir…
Design, build, and optimize end-to-end data solutions on Azure Databricks, manage ETL processes and data processing environments, and mentor junior engineers for a multinational food and beverage corporation.
Senior Data Engineer building data products with automated pipelines for batch and streaming scenarios using Databricks, Azure, and languages like PySpark/Python.
Data Engineer at Prima AFP (Peru) building scalable data pipelines, managing production deployments, optimizing cloud resources, and implementing automated data quality processes using SQL, ETL, Spark, and Lakehouse architecture.
Lead digital initiatives and data engineering efforts, building scalable data platforms, enforcing data governance, and driving AI adoption across the organization.
The Lead Data Platform Engineer will own the canonical data models and semantic layer, establishing data contracts and enabling self-serve analytics. The role involves working with a modern stack including BigQuery/Snowflake/Redshift, dbt, Python, and various orchestrators to ensure reliable and compliant data infrastructure.
Build and operate a standardized EMEA FP&A data and planning platform using Microsoft Fabric (lakehouse architecture) and Power Platform (Power Apps, Power Automate) to support finance decision-making across multiple countries and legal entities.
The Senior Cloud Data Platform Engineer will design and optimize cloud data infrastructure using AWS services, IaC, and data engineering tools to support scalable data workflows. This freelance role involves maintaining AWS projects and providing technical guidance to data engineering teams.
The FP&A Data Platform Engineer will design a scalable Fabric lakehouse and automate payroll and planning inputs using Power Apps and Power Automate. The role involves standardizing data models and collaborating with cross-functional teams to support finance reporting.
The Senior AWS Cloud Data Platform Engineer will optimize cloud data platforms and manage data integration pipelines. The role involves designing infrastructure as code, creating application blueprints, and supporting data engineering teams.
Data Engineer designing and developing big data solutions—covering collection, storage, and modeling—and deploying Spark pipelines in production on cloud platforms (AWS/GCP/Azure) for client projects.
Data Engineer on a strategic data platform project, designing and industrializing ETL/ELT pipelines in a secure cloud environment using AWS and Snowflake, collaborating with Data, DevOps, Architecture, and Security teams.
This senior data engineer role involves developing a personalization context service and data platform on Google Cloud Platform to support machine learning models. The engineer will work with technologies including BigQuery, DataFlow, Kafka, and Terraform to process data from sources like Google Tag Manager.
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