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Spark on steroids, with a side of notebooks. Touted as the go-to platform for unified analytics, Databricks brings managed Spark clusters, collaborative notebooks, and seamless integration with cloud storage under one (expensive) roof. If you’re wrangling massive datasets or running complex ML workflows, it’s a powerful choice—especially for distributed computing without sweating over cluster management.
But let’s not ignore the elephant in the room: Databricks is a jack-of-all-trades but master of none. Its notebooks are decent, though hardly revolutionary. Its SQL features lag behind dedicated warehouses like Snowflake, and costs can escalate quickly if you’re careless with cluster sizing or fail to shut things down.
Ideal for hybrid teams juggling data engineering and data science, but for pure analytics or lightweight ETL? Consider simpler, cheaper alternatives. A brilliant tool if your problems fit its paradigm—just don’t expect it to be your one-size-fits-all solution.
Used together with Databricks
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Jobs in using Databricks for but please no
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analytics engineer
Associate Director, Data & Analytics @ bridgebio
US | 2025-12-27
| USD
185000 - 250000
/ year
A senior leadership role in a biotech company seeks a data strategist with expertise in cloud architectures, AI/ML, and regulatory compliance. The differentiator is their focus on advancing...
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Management, Analytics, BI, Data Governance, AI/ML, Cloud Computing, Data Management, GDPR/CCPA, Master Data Management, Data Quality, Cyber Security, ETL/ELT, Data Analytics, KPI, Azure, R, Computer Science, Data Science, PhD, AWS, Databricks, Snowflake, DWH, Data Lake, Big Data, Tableau, Power BI, Spark, Python | ||
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analytics engineer
Product Owner/Business Analyst - EDW & Reporting Solutions-Supply Chain & Finance @ altera-fpga
US | 2025-12-27
| USD
127400 - 184400
/ year
Senior EDW-focused Business Analyst / Product Owner, tasked with bridging business requirements and technical delivery for an enterprise data warehouse and reporting stack. The posting doubles as...
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DWH, Data Engineering, ETL/ELT, Data Quality, Management, Data Governance, BI, Data Modelling, Power BI, Tableau, Qlik, SQL, RDBMS, SQL Server, Oracle, ERP, Cloud Computing, Fabric, Databricks, Redshift, Synapse, BigQuery, Agile/Scrum, Jira, Confluence |
