Databricks Data Engineer Architect - Hybrid Cloud

Ntt Data; Treviso; Ibrido; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

NTT DATA is seeking a Databricks Expert to bridge Data Science and Data Engineering across cloud-native environments in Italy, collaborating with business analysts and solution architects. You will deliver data acquisition, transformations, cleansing, conversion, compression and loading of data into data lakes to support analytics and machine learning models.

The role requires experience with Spark, Databricks, Azure Data Factory, Synapse, and at least one cloud: GCP/AWS/Azure; certifications

Competenze

• Cloud-native experience in GCP/AWS/Azure; 5+ years with Databricks.
• Proficient in Big Data architectures, cloud and on-prem.
• Azure infrastructure and networking experience.
• Proven ability to build PoCs addressing business needs.
• Experience migrating workloads from on-prem to cloud.
• Experience monitoring distributed systems with Azure tools or Grafana/Prometheus.
• Proficient in Java, Scala, Python and shell scripting.
• Strong SQL knowledge.
• Leadership experience leading medium-sized teams.
• Hands-on with Spark, Databricks, ADF, Synapse.
• Azure or Databricks certifications.

Mansioni

• Support customers in Big Data projects and collaborate with analysts and solution architects.
• Deliver data acquisition, transformations, cleansing, conversion, and loading into data lakes for analytics and ML.

Conoscenze

Cloud platforms

Databricks experience

Big Data architectures

Azure knowledge

Java/Scala

SQL

Shell scripting

Leadership

Spark

Databricks tools

Azure Data Factory/Synapse

Strumenti

Databricks

Apache Spark

Azure Data Factory

Azure Synapse

Grafana

Prometheus

Descrizione del lavoro

NTT DATA is seeking a Databricks Expert to bridge Data Science and Data Engineering across cloud-native environments in Italy, collaborating with business analysts and solution architects. You will deliver data acquisition, transformations, cleansing, conversion, compression and loading of data into data lakes to support analytics and machine learning models.

The role requires experience with Spark, Databricks, Azure Data Factory, Synapse, and at least one cloud: GCP/AWS/Azure; certifications