Overview:

Senior Data Engineer

Hybrid working - 1 day a week onsite in either London or Portsmouth

Permanent - Up to 75k

Responsibilities:

• Deploy and manage Starburst Enterprise/Galaxy and Dell Data Lakehouse installations, overseeing environment setup, configuration, maintenance, upgrades, and ensuring optimal performance.
• Configure various server and application settings and parameters.
• Integrate Starburst with various data sources to create a unified data platform.
• Design and tune the container solution for performance and scalability.
• Set up and configure data catalogs in various modes.
• Implement robust security controls for data access, ensure compliance with data regulations, and manage potential vulnerabilities.
• Coordinate with various support partners and vendor teams.
• Troubleshoot and investigate server related issues and provide root cause analysis for incidents.
• Perform daily server administration and monitoring, and leverage automation (such as Ansible) for efficient maintenance.
• Plan and execute disaster recovery testing.
• Create documentation and provide training on Starburst administration and best practices.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering or related field (or equivalent work experience).
• Proven experience with Trino/Starburst Enterprise/Galaxy administration / CLI.
• Implementation experience with container orchestration solutions (Kubernetes/OpenShift).
• Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP).
• Understanding of distributed system architecture, high availability, scalability, and fault tolerance.
• Familiarity with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos.
• Excellent Unix/Linux skills.
• Familiarity with JDBC / ODBC
• Preferred Skills:
• Certification: Starburst Certified Practitioner.
• Experience Python and/or Java programming.
• Proficient with infrastructure automation tools such as Ansible.
• Knowledge of data requirements for AI and machine learning workloads.
• Familiarity with Data Federation and Cached Services
• Familiarity with Data pipeline (Series of steps that move and transform data from one source to another for analyses and storage)
• Experience with Dell Data Lakehouse administration.
• Experience in Demand Driven Adaptive Enterprise (DDAE) administration
• Working Conditions
• This position may require evening and weekend work for time-sensitive project implementations.

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.