Java with Big Data

Summary: The role of Java with Big Data involves working within a Linux-based Hadoop ecosystem, utilizing technologies such as HDFS, Impala, Hive, and HBase. Candidates should have experience in big data technologies and real-time data processing, with a focus on effective communication and problem-solving skills. The position requires the ability to manage multiple tasks and deliver results under pressure.

Key Responsibilities:

• Utilize Linux-based Hadoop ecosystem technologies (HDFS, Impala, Hive, HBase).
• Work with big data technologies and real-time data processing platforms (e.g., Spark Streaming).
• Demonstrate clear and concise written and verbal communication.
• Deliver against agreed objectives consistently.
• Manage multiple tasks and work effectively under pressure.
• Exhibit problem-solving and decision-making skills.
• Apply excellent analytical and process-based skills, including process flow diagrams and business modeling.

Key Skills:

• Experience with Linux-based Hadoop ecosystem (HDFS, Impala, Hive, HBase).
• Knowledge of big data technologies and real-time data processing (Spark Streaming preferred).
• Strong written and verbal communication skills.
• Ability to deliver against objectives.
• Multi-tasking and working under pressure.
• Problem-solving and decision-making abilities.
• Analytical skills and process-based skills (process flow diagrams, business modeling).

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT