CDP Specialist – Big Data Platform

🕒 October 2

🇮🇹 Italy – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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🗣️🇮🇹 Italian Required

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Logo of IKONS ITALIA

IKONS ITALIA

51 - 200 employees

Founded 2023

💼 Consulting

📣 Marketing

🏢 Enterprise

Consulting • Marketing • Enterprise

<IKONS ITALIA> IKONS ITALIA is a specialized IT services provider and the Italian branch of the IKONS group, offering professional IT consulting, software architecture and design, custom software development, and 24/7 maintenance and support to system integrators and enterprise clients. Founded in 2016, it supplies highly qualified technical and management resources, supports platform/back-end/front-end/database work, and emphasizes scalability, continuous learning (internal academy), strategic partnerships, and sustainable technology adoption to help partners deliver advanced digital solutions.

📋 Description

• Manage, configure, administer, and monitor Cloudera CDP environments • Develop, maintain, and optimize data pipelines and Big Data processing workflows • Query, analyze, and transform data using SQL and Cloudera ecosystem technologies • Support troubleshooting, performance tuning, and platform management according to specialization • Collaborate with technical and functional teams to ensure data reliability, quality, and availability

🎯 Requirements

• Experience with Cloudera Data Platform (CDP) and Big Data technologies • Skills in at least one of: data platform administration, data engineering, or data analytics • Knowledge of technologies and tools relevant to the candidate’s specialization • Troubleshooting and problem-solving ability in complex data environments • At least one required Cloudera certification: CDP-2001: CDP Administrator – Private Cloud Base; CDP-3002: CDP Data Engineer; or CDP-4001: CDP Data Analyst • Italian language required

🏖️ Benefits

• Remote work (Full Remote) • Possibility of holding multiple Cloudera certifications as an added value • Experience in Cloudera Private Cloud as an added value • Knowledge of Hadoop, Hive, Impala, Spark and SQL as an added value

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