Databricks Expert & Data Architect — Data Science Bridge

NTT DATA Europe & Latam; Piemonte; On-site; EUR 70,000 - 110,000; Full time

Job summary

NTT DATA Europe & Latam is seeking a Databricks Expert to bridge Data Science and Data Engineering in a cloud-native setting. You will help deliver data acquisition, transformations and loading into data lakes for analytics and ML.

You will collaborate with business analysts and solution architects to address use cases, data needs and outcome objectives in a global, multi-cultural environment.

Qualifications

• 5+ years in cloud-native environments across public clouds.
• Experience with Big Data architectures, cloud and on-premises.
• Azure infrastructure and networking experience.
• Proven ability to build proofs-of-concept for business needs using appropriate tech.
• Experience migrating workloads from on‑premise to cloud environments.
• Experience monitoring distributed infra with Azure tools or Grafana/Prometheus.
• Proficiency in Java, Scala, Python and shell scripting.
• Strong SQL knowledge.
• Leads medium-sized teams.
• Hands-on with Spark, Databricks, Azure Data Factory, Azure Synapse.
• Microsoft Certification: at least one Azure or Databricks cert.

Responsibilities

• Support customers in Big Data projects and deliver data loading for analytics and ML.
• Collaborate with analysts and solution architects to understand use cases and data needs.

Skills

Databricks

Azure

AWS

GCP

Apache Spark

Java

Scala

Python

SQL

Data Engineering

Cloud migration

Azure Data Factory

Azure Synapse

Monitoring

Grafana

Prometheus

Shell scripting

Tools

Databricks

Azure Data Factory

Azure Synapse

Apache Spark

Grafana

Prometheus

SQL

Job description

NTT DATA Europe & Latam is seeking a Databricks Expert to bridge Data Science and Data Engineering in a cloud-native setting. You will help deliver data acquisition, transformations and loading into data lakes for analytics and ML.

You will collaborate with business analysts and solution architects to address use cases, data needs and outcome objectives in a global, multi-cultural environment.