Glean? Think universal enterprise search. It's like a massive knowledge graph for your company, indexing all those disparate SaaS apps, docs, and wikis. I've spent weeks building custom connectors for similar things. Glean just stitches it all together for you. #DataEngineer

I've seen Glean supercharge internal search. But it's only as good as your source data. Poor docs, scattered Confluence, messy Slack? Glean finds that mess faster. Invest in clean source info first. It's not magic, it just amplifies your existing knowledge base. #DataEngineer

Building AI agents? Your vector DB is only as effective as the embeddings you feed it. I've learned this the hard way: weak embeddings mean irrelevant context for your RAG system. No fancy vector search algorithm can fix bad data quality at the source. #DataEngineer

Multi-Cloud Platform isn't just about vendor lock-in. I've learned the hard way it's a massive operational complexity multiplier. Managing distinct auth, network, and security models across clouds adds huge overhead if you don't absolutely need it. Pick wisely. #DataEngineer

Databricks all-purpose clusters? Handy for dev. But I've seen so many teams hemorrhage cash leaving them idle. My rule: aggressive auto-termination. Set it and forget it. Saved me from some nasty cloud bills. #DataEngineer #Databricks #CloudCosts #CostOptimization

I learned this the hard way: Snowflake micro-partitions are awesome, but if you don't set up your clustering keys correctly for frequently filtered tables, query costs will skyrocket. It's not magic. #DataEngineer #Snowflake #DataWarehouse #CloudData #Performance

Saw a team struggle with Snowflake DML performance. They didn't realize updating a few rows means rewriting entire micro-partitions. That's why your DELETE/UPDATE is slow & expensive. Think append-only where possible. It saves you. #DataEngineer #Snowflake #CloudData

It's important to ask "why" a pipeline is needed rather than finding answer for "how" to set it up #dataengineer

The hardest part of Data Engineering isn't building the pipeline. It’s convincing the business that Real-Time Streaming isn't necessary for a report they only look at once a month on Tuesday mornings. #DataArchitecture #DataEngineer

CGM Consulting S.r.l. ricerca: PL/SQL developer a Milano Leggi i dettagli e INVIA IL TUO CURRICULUM! ➡️ cgmconsulting.it/offerta-lavoro… #AmbitoBancario #Backend #DataEngineer #JuniorDeveloper #PLSQLDeveloper #Postgres #Qlik #SQL #sviluppodatabase  #informati... cgmconsulting.it/offerta-lavoro…

#WeAreHiring #HadoopEngineer #DataEngineer #BigDataJobs #HadoopJobs #PySpark #SparkDeveloper #ETLDeveloper #SQLJobs #Cloudera #YARN #Hive #Impala #TechHiring #ITJobs #NaviMumbaiJobs #MumbaiJobs #ImmediateHiring #WorkFromOffice #SimpleLogicCareers

📌 Actionable Task: Write a script that prints today’s date to a log file. Test it and observe the automation in action. ✨What’s the first Bash script you wrote that made you feel like a real Data Engineer? #bashscripting #dataengineering #dataengineer

CGM Consulting S.r.l. ricerca: Data Engineer (Python) a Milano Leggi i dettagli e INVIA IL TUO CURRICULUM! ➡️ cgmconsulting.it/offerta-lavoro… #DataEngineer #DataPipeline #Docker #GCP #Git #JuniorDeveloper #Kafka #Python #SQL  #informatica #consulenzainformat... cgmconsulting.it/offerta-lavoro…