Teradata

data warehouse, analytics, big data, olap
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Back in the day, when data warehouses weren’t just cloud services you spin up on a Tuesday, Teradata emerged as the titan of parallel processing. The promise? To finally conquer the sheer volume of information businesses were desperately trying to hoard, offering lightning-fast analytics that would leave traditional relational databases weeping in the corner. It wasn’t just a database; it was a platform, a complete ecosystem…and a rather expensive one at that.

The reality? While undeniably powerful, Teradata demanded a dedicated priesthood of highly skilled (and highly compensated) administrators. Its proprietary nature meant vendor lock-in of epic proportions. Now, while still a formidable player in certain industries – finance, telecom, the places with truly monstrous data sets – it’s facing a world increasingly dominated by cloud-native solutions like Snowflake and BigQuery. Quite clever, really, though one does wonder if all that parallel processing power was simply masking the slow march of technological progress around it.

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data engineer

Tech lead data (F/H) - Data Solutions Analytics @ bpce-solutions-informatiques

FR | 2025-12-28
BPCE SI, the IT arm of BPCE, a major French banking group, seeks a tech lead for Data Preparation and Data Virtualisation within Distribution and Data. The role builds and industrializes Data... read more »
AI/ML, Cloud Computing, DevOps, Analytics, GCP, KPI, Agile/Scrum, SQL, Teradata, Python, Alteryx, CI/CD, Git, Jenkins, Dataiku
data engineer

Senior Data Engineer @ bain-and-company

JP | 2025-12-26
Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the... read more »
AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum