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Lead the design and build of Cypher Games’ data platform, owning scalable ETL/ELT pipelines, warehousing, and analytics to power live game operations and player insights.
Designs, builds, and maintains data pipelines (ETL/ELT), DWH layers, and Python-based APIs to integrate CRM/ERP sources and ensure reliable data flows.
Lead the build of a cloud-scale data platform for a global fintech firm, turning terabytes of trading and product data into reliable, analytics-ready pipelines and AI-ready warehouses using AWS, Python, and modern ETL/ELT tooling.
Data Engineer builds and optimizes ETL/ELT pipelines, writes SQL queries, and designs data architecture for an iGaming company’s analytics platform.
Dla naszego klienta, lidera w branży ubezpieczeń poszukujemy osoby na stanowisko Data Warehouse Manager. Zakres obowiązków: Organizowanie i koordynowanie pracy zespołu odpowiedzialnego za rozwój oraz utrzymanie…
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans…
Build and optimize data pipelines using Spark and Scala for clients, ensuring scalable and efficient data processing solutions.
Builds and maintains scalable data pipelines using Azure Databricks, Azure Data Factory, and PySpark to transform, integrate, and optimize data workflows for analytics, with SQL and cloud-based solutions.
Build and maintain clean, tested dbt models and semantic layers that power Tableau/Power BI dashboards for Enpal’s AI-driven energy platform, optimizing solar, storage, and electricity procurement.
Design and build scalable data pipelines using Azure Data Factory, Snowflake, and Databricks, focusing on ETL/ELT, cloud data architecture, and infrastructure-as-code in Azure.
Enterprise Data Operations Senior Analyst Location: Plano, Texas, United States Overview Job Title: Enterprise Data Operations Senior Analyst (Multiple positions) Employer: PepsiCo Inc. Location: 7701 Legacy Drive,…
Senior Data Engineer | Microsoft Fabric | $160–170k + Super | 6 Month FTC (View to Permanent) | Sydney A leading Australian financial services organisation is undertaking a major transformation of its data platform and…
Build and maintain cloud-native data pipelines and ETL workflows using AWS, Talend, and Snowflake to modernize a global financial organization’s analytics platform.
Senior/Lead Data Analyst builds and maintains DWH, ETL pipelines, and data models for fintech clients, using SQL, PostgreSQL, Greenplum, and Airflow.
Design and scale Coupang’s petabyte-scale data infrastructure, build real-time ETL/ELT pipelines, and enforce data quality and SLA governance across the organization.
Builds and maintains data analytics pipelines, dashboards, and reports using SQL, Python, and BI tools to support regulatory reporting and decision-making.
Build and optimize data pipelines, DWH, and lakehouse architecture using Airflow, Spark, and Python; integrate APIs, S3, and Kafka; ensure data quality and reliability.
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
Designs and leads enterprise-grade data and AI solutions for Prudential, focusing on cloud-native architectures, Databricks-based lakehouses, ETL/ELT pipelines, and Agentic AI for insurance and corporate functions.
Designs and leads a modern data platform for an edtech product using Databricks, AWS, and Unity Catalog, migrating legacy pipelines and setting governance, quality, and cost controls.
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