Databricks Expert & Data Engineer: Cloud Data Bridge

NTT America, Inc.; Salerno; In loco; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

NTT Data is seeking a Databricks Expert to bridge Data Science and Data Engineering in a cloud-first environment. You will support clients on Big Data projects, collaborating with business analysts and solution architects to understand use cases, data needs and outcomes.

You will deliver data acquisition, transformations and loading into data lakes for analytics and ML models, leveraging Spark, Databricks, ADF and Synapse in Azure.

Competenze

• Working experience in a cloud native environment in at least one public cloud (GCP/AWS/Azure), 5 years on Databricks preferred.
• Experience with Big Data architectures, cloud and on premise.
• Azure infrastructure and networking experience.
• Experience building and delivering proofs-of-concept to address business needs.
• Experience migrating workloads from on premise to cloud.
• Experience monitoring distributed infrastructure with Azure tools or open source tools.
• Proficiency in Java, Scala, Python, and shell scripting; strong SQL knowledge.
• Experience leading medium teams; knowledge of Spark, Databricks, ADF, Synapse.

Mansioni

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

Conoscenze

Cloud native

Databricks

Big Data architectures

Azure

POC delivery

Cloud migration

Monitoring

Java

Scala

Python

Shell scripting

SQL

Team leadership

Spark/Databricks/ADF/Azure Synapse

Azure certification

Formazione

Microsoft Certification: Azure/Databricks

Strumenti

Databricks

Azure Data Factory

Azure Synapse

Grafana

Prometheus

Descrizione del lavoro

NTT Data is seeking a Databricks Expert to bridge Data Science and Data Engineering in a cloud-first environment. You will support clients on Big Data projects, collaborating with business analysts and solution architects to understand use cases, data needs and outcomes.

You will deliver data acquisition, transformations and loading into data lakes for analytics and ML models, leveraging Spark, Databricks, ADF and Synapse in Azure.