Posted:2 weeks ago|
Platform:
Hybrid
Full Time
2. Data Engineers 3. Data Scientist What you'll bring Technical Expertise: Deep understanding of the latest Big Data technologies (Spark Engines, Sql Engines like Databricks, Apache pinot, EMR, etc) and proficiency in building and managing complex data pipelines. Platform Optimisation: Experience in optimising platform performance and cost management, ensuring scalable solutions that meet organisational needs without exceeding budget. Innovation and R&D: A forward-thinking mindset with a passion for exploring new data technologies, continuously seeking ways to enhance platform capabilities and efficiency. Infrastructure Management: Proven experience managing cloud-based infrastructures, including networking, deployment, and monitoring, while ensuring reliability and high availability. Governance and Metadata Management: Knowledge of data governance frameworks, ensuring proper data cataloging, lineage, and metadata management to drive data quality and transparency. Proactive Problem Solver: Strong analytical skills, with a solution-oriented approach to overcoming technical challenges and finding innovative solutions for complex data problems. Cost Efficiency: Ability to implement cost optimisation strategies and ensure resource utilisation is efficient, helping the team minimise waste and maximise value. Security Best Practices: Implementing best practices in data security, including encryption, hashing, key management, and access controls, to protect sensitive data across platforms.
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