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Data Engineer (Middle) @ Intermedia Intelligent Communications

Georgia, GeorgiaOnsiteFull-time
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About this role

All candidates must be located in Republic of Georgia. This is a full-time position. About Intermedia Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and optimistic at Intermedia, we invite passionate, creative, and talented people to join us — here you can indulge your passion for creating and supporting great cloud technology. What's more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other's back! Are you ready to make your mark? So what is this job? You know that feeling when you finally find the one row that broke everything? Or when a pipeline you built runs perfectly for weeks without a single alert? We live for that. We take messy data from source systems, move it into Snowflake, shape it into something people can actually use, and make sure it stays that way. SQL is your main weapon. The stack is Snowflake, dbt, MSSQL, S3 — and if you haven’t used all of it, that is totally fine. What we really care about: you pick things up fast, you finish what you start, and when something goes wrong, you are the kind of person who figures out why. Our stack Snowflake · dbt · MSSQL (SQL Server) · S3 · MuleSoft · Git A typical week • Build and fix pipelines — ingestion, transformation, consumption, all of it • Write dbt models that actually have tests and docs (yes, we check) • Chase down a data issue from the report all the way back to the source • Jump on an incident — MSSQL job died, Snowflake task hung, S3 file vanished — and fix it • Run a backfill, validate the results, confirm the fix actually worked • Help move data from MSSQL into Snowflake without losing anything along the way • Keep an eye on monitoring so users don’t find problems before you do • Leave things documented well enough that future-you will say thank you

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