Databricks Engineer

🌍 Hello World!

Me oleme The Codest –  International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services.

Meie ekspertiis keskendub järgmistele valdkondadele veebiarendus, pilveprojektid, DevOps ja kvaliteet.  Pärast aastatepikkust oma toote - Yieldbirdi - arendamist, mis pälvis Deloitte'i prestiižse Top25 auhinna laureaadi tiitli, jõudsime oma missioonini: aidata tehnoloogiaettevõtetel luua mõjusaid tooteid ja laiendada oma IT-meeskondi, suurendades IT-tarnete tulemuslikkust. Tänu meie ulatuslikule kogemusele tootearenduse väljakutsetega oleme saanud ekspertideks digitaalsete toodete loomisel ja IT-meeskondade skaleerimisel. 

Kuid meie teekond ei lõpe siin - me tahame jätkata oma kasvu. Kui oled sihikindel ja otsid uusi võimalusi, siis liitu meie meeskonnaga! Sind ootab ees rikastav ja koostöökeskkond, mis soodustab sinu kasvu igal sammul.

Praegu otsime:

DATABRICKS DATA ENGINEER

📈 Teie kohustused:

Here, you will have an opportunity to contribute to a banking app for one of the leading financial groups in Japan. The platform is equipped with bank modules and data management features and it is customer-facing as well. We are seeking an experienced Databricks Engineer to design, build, and manage scalable data solutions and pipelines using Databricks. You’ll work closely with cross-functional teams to ensure data is reliable, accessible, and efficient to power analytics and business intelligence initiatives.

• Experience with Medallion Architecture (Bronze, Silver, Gold) for lakehouses using optimized performance patterns
• Build strong data quality frameworks with automated testing and monitoring
• Rakendada Delta Lake features such as time travel, vacuum operations, and Z-ordering
• Develop and maintain complex ETL/ELT pipelines processing large-scale datasets daily
• Design and implement CI/CD workflows for data pipelines using Databricks Asset Bundles or equivalent tools
• Loo real-time and batch data processing solutions with Structured Streaming and Delta Live Tables
• Optimize Spark jobs for cost efficiency and performance, leveraging cluster auto-scaling and resource management
• Develop custom integrations with Databricks APIs and external systems
• Design scalable data architectures using Unity Catalog, Delta Lake, and Apache Spark
• Establish data mesh architectures with governance and lineage tracking

🔑 Peamised nõuded:

• 6+ years of experience in data engineering, with a strong track record of designing and deploying production-grade data pipelines and ETL/ELT workflows
• Proficiency in Python, PySpark, and SQL
• Extensive hands-on experience with AWS services such as Glue, Lambda, Redshift, and S3
• Solid background in data governance and management tools, including platforms like Unity Catalog and AWS Sagemaker Unified Studio
• Proven experience in data migration initiatives and modernizing legacy systems
• Communicative English language skills (the project is in an international team)

➕ Tore, kui see on olemas: 

• Databricks Certified Professional Data Engineer (or equivalent certification)
• Excellent communication and teamwork skills
• Strong analytical thinking and problem-solving ability
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is considered an advantage

📜 Meie lubadus (mida võite meilt oodata):

• 27000-34000 PLN on B2B contract
• 100% kaugtöö (kuid meil on kontorid Krakovis ja Varssavis ja me kohtume seal aeg-ajalt hea meelega 😉)
• 300 PLN, mida saab kasutada meie soodustuste platvormil Worksmile - kinkekaardid, meditsiiniteenused, sport jne.
• Meie B2B leping sisaldab sätteid, mis võimaldavad teil saada IP BOXi toetust.
• Integratsioonisündmused, haridusvõimalused ja palju muud...
• Ainulaadne võimalus viia oma karjäär järgmisele tasemele - me otsime inimesi, kes soovivad avaldada mõju. Sul on ideid, me tahame neid kuulda!

📌 Värbamisprotsess:

• 30-minutiline sõelumiskõne online meie värbajaga
• 45min-1h technical call with one of our engineers
• 1h call with the team leader
• Pakkumine

Küsimused, arusaamad? Võta julgelt ühendust meie värbamismeeskonnaga:

[email protected]