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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
Analytics Engineer, Product Analytics @ airtable
US | 2025-12-28
| USD
179500 - 221500
/ year
This role is a unique opportunity to shape product strategy through data, but the description is overly promotional and lacks specificity. The responsibilities mention owning data pipelines and...
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Analytics, dbt, Databricks, Looker, Omni, Go, Analytics Engineering, Computer Science, Data Science, AI/ML, LLM, SaaS, SQL, Data Modelling, Snowflake, BigQuery, BI, Tableau, Amplitude, Mixpanel, Google Analytics | ||
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analytics engineer
Data and Analytics Consultant @ systemsevolutioninc-
US | 2025-12-28
This role is a misrepresentation of data engineering. The description is a hollowed-out version of a data architect, pretending to be a data engineer, while evading the realities of the job. It...
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Go, Analytics, C, Management, Data Analytics, Data Governance, Cloud Computing, Data Engineering, Data Management, Data Quality, Master Data Management, AWS, Azure, GCP, API, Python, JavaScript, SQL, DWH, Snowflake, Redshift, Databricks, DataViz, Tableau, Power BI, Qlik, AI/ML, Data Modelling, Alteryx | ||
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promoted
O'Reilly: Building AI Agents with Model Context Protocol (MCP)Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs. |
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analytics engineer
Analytics Engineer II @ stubhub
US | 2025-12-27
| USD
150000 - 200000
/ year
StubHub’s Analytics Engineer role in the Product Experimentation domain promises to scale data assets and analytic frameworks across a hybrid New York setup. You’ll manage cross-functional data...
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Analytics, Data Engineering, Analytics Engineering, BI, Cloud Computing, BigQuery, Snowflake, Databricks, SQL, Python, Java, Airflow, dbt, Tableau, Data Streaming, Management | ||
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analytics engineer
Senior Associate, Insights & Analytics @ newyorklife
US | 2025-12-25
| USD
79000 - 113000
/ year
A data role supporting accelerated underwriting programs and mortality risk models at New York Life, with a key differentiator being its focus on data infrastructure replatforming from Redshift to...
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Analytics, Management, SQL, Computer Science, Data Science, Data Analytics, BI, Redshift, Databricks, dbt, Tableau, Dashboard, AI/ML | ||
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analytics engineer
AVP, Reference Data Governance @ fortitude-re
US | 2025-12-24
| USD
165000 - 185000
/ year
Fortitude Re seeks an AVP of Reference Data Governance to architect ontologies, taxonomies, and enterprise reference data across legacy life, annuity, and property-and-casualty lines. The role is...
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C, Go, Data Governance, Analytics, Management, Computer Science, Data Science, Data Management, Master Data Management, Alation, Databricks, Data Modelling, GDPR/CCPA |
