Databricks Expert & Data Engineer - Hybrid Cloud Architect

Ntt Data; Puglia; Ibrido; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

NTT DATA is seeking a Databricks Expert to bridge Data Science and Data Engineering within our Data Intelligence service line. You will support customers across Big Data projects, delivering data processing pipelines and scalable analytics solutions in a cross-functional team.

The ideal candidate has extensive Databricks and Spark experience, cloud architecture knowledge across major providers, and a KAIZEN approach to continuously improve technical skills.

Competenze

• 5+ years experience with Databricks preferred.
• Strong knowledge of Big Data architectures across cloud and on-premise environments.
• Experience with Azure infrastructure and networking.
• Experience delivering proofs-of-concept to address business needs using the most suitable techniques and data sources.
• Experience migrating workloads from on-premise to cloud.
• Experience monitoring distributed infrastructure with Azure tools or open source tools (Grafana, Prometheus).
• Proven coding experience in Java, Scala, Python, and shell scripting.
• Strong SQL language knowledge.
• Experience leading medium-sized teams.
• Experience with Spark, Databricks, Azure Data Factory, Azure Synapse, and related ETL/ELT tools.
• Microsoft Certifications: at least one Azure/Databricks certification.

Mansioni

• Support customers in Big Data projects, collaborating with business analysts and solution architects to understand use cases and data needs.
• Deliver data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML models.
• Assist in designing and implementing end-to-end data Engineering solutions within the Data Intelligence service line.

Descrizione del lavoro

NTT DATA is seeking a Databricks Expert to bridge Data Science and Data Engineering within our Data Intelligence service line. You will support customers across Big Data projects, delivering data processing pipelines and scalable analytics solutions in a cross-functional team.

The ideal candidate has extensive Databricks and Spark experience, cloud architecture knowledge across major providers, and a KAIZEN approach to continuously improve technical skills.