Databricks Expert - Data Engineer/Data Architect
Pubblicato il 22-10-2026 - Ntt Data in Latina
Overview
La preghiamo di leggere attentamente la seguente descrizione del lavoro per assicurarsi di essere la persona giusta per questo ruolo prima di candidarsi.
As a Databricks Expert at NTT DATA, you will bridge Data Science and Data Engineering to craft cloud-native data solutions.
You'll support customers on Big Data initiatives, collaborating with analysts and solution architects to align use cases with data needs and outcomes.
You'll build and optimize data pipelines, enabling analytics and machine learning through well-governed data lakes.
This hybrid role places you in a cross-cultural environment, fostering continuous skill growth and impactful data-driven transformation.
Responsabilità
Support customers on Big Data projects and collaborate with business analysts and solution architects to understand use cases and outcomes
Deliver data acquisition, transformations, cleansing, conversion, compression and loading into data lakes for analytics/ML consumption
Assist in designing data pipelines and enhancements to support analytics and machine learning
Contribute to PoCs and migration efforts from on-premise to cloud environments
Monitor and optimize distributed infrastructure using Azure or open-source tooling
Requisiti fondamentali
Cloud-native experience in at least one of GCP, AWS, or Azure
5+ years experience with Databricks (preferred)
Knowledge of Big Data architectures (cloud and on-premises)
Azure infrastructure and networking experience
Experience delivering PoCs addressing business needs with appropriate tech
Experience migrating workloads from on-prem to cloud
Experience monitoring distributed infrastructure (Azure tools or xysqume Grafana/Prometheus)
Proven programming skills in Java, Scala, Python, and shell scripting
SQL proficiency
Experience leading medium-sized teams
Hands-on with Spark, Databricks, Azure Data Factory, and Azure Synapse
Microsoft Certifications relevant to Azure or Databricks
Leadership and mentoring of teams
Strong collaboration and cross-functional communication
Problem-solving mindset with Kaizen approach
Databricks
Apache Spark
Azure Data Factory