Databricks Expert | Data Engineer & Architect

NTT DATA BUSINESS SOLUTIONS; Bari; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS is seeking a Databricks Expert - Data Engineer/Data Architect to bridge Data Science and Data Engineering in a cloud native environment, delivering data lake pipelines and scalable analytics solutions.

You will collaborate with analysts and architects to map data needs, implement transformations, and ensure robust data delivery for analytics and ML models across multiple Azure services.

Competenze

• 5+ years of experience with Databricks in cloud native environments.
• Experience with Big Data architectures, both cloud and on premise.
• Azure infrastructure and networking experience.
• Proven ability to build and deliver proofs-of-concept addressing business needs.
• Experience migrating workloads from on premise to cloud environments.
• Experience monitoring distributed infrastructure using Azure tools or Grafana/Prometheus.
• Proficiency in Java, Scala, Python and shell scripting; strong SQL knowledge.
• Experience leading medium teams.
• Experience with Spark, Databricks, Azure Data Factory, Azure Synapse and related ETL/ELT tools.
• Microsoft Azure or Databricks certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert, etc.

Mansioni

• Support customers in Big Data projects and translate use cases into data solutions.
• Deliver data acquisition, transformations, cleansing, loading into data lakes for analytics/ML.

Conoscenze

Java

Scala

Python

Shell scripting

SQL

Strumenti

Apache Spark

Databricks

Azure Data Factory

Azure Synapse

Grafana

Prometheus

Talend

Oracle Data Integrator

Informatica PowerCenter

PowerBI

Qlik

Tableau

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS is seeking a Databricks Expert - Data Engineer/Data Architect to bridge Data Science and Data Engineering in a cloud native environment, delivering data lake pipelines and scalable analytics solutions.

You will collaborate with analysts and architects to map data needs, implement transformations, and ensure robust data delivery for analytics and ML models across multiple Azure services.