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2 data warehouse jobs found in Lugano

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Full time  (2)
Tether Operations Limited
13/06/2026
Full time
Developer Relations AI (100% remote Worldwide)
Tether Operations Limited Lugano, Ticino, Switzerland
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance:   Our innovative product suite features the world’s most trusted stablecoin,   USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power:   Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices...
FORFIRM
03/07/2026
Full time
Data Analyst – Cloud Migration & BigQuery
FORFIRM Lugano, Ticino, Switzerland
Our organization is launching a strategic initiative to migrate its data infrastructure from an on-premise Oracle Database environment to Google Cloud Platform (GCP). The project involves consolidating legacy data warehouses, re-architecting ETL/ELT pipelines, and adopting cloud-native services such as BigQuery, Cloud Storage, and Dataflow. The selected Data Analyst will be a key contributor across every phase of the migration lifecycle: from as-is data analysis of source systems, through post-migration validation, to supporting business teams in their transition to new cloud-based analytics tools Key Responsibilities: Data Analysis & Mapping Inventory and document Oracle source data (schemas, tables, stored procedures, views) Perform data profiling to identify anomalies, duplicates, and inconsistencies Define logical data mappings from Oracle to BigQuery for each data domain Collaborate with data engineers on the definition of transformation rules...

 

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