Posted:4 days ago|
Platform:
On-site
Full Time
Hi,
Opportunity open for Bell Integration -Senior Data Engineer.
Experience - 10+ years.
Interview mode - Virtual.
Overview:
We are seeking a talented Senior Data Engineer specializing in Starburst (Trino) and Dell Data Lakehouse to join our AI & Data team. You will be responsible for deploying, maintaining and optimizing Starburst installations & Dell Data Lakehouse, enabling our clients to seamlessly access their data across multiple platforms. The ideal candidate will have excellent communication skills, an advanced understanding of Starburst & Dell Data Lakehouse, and proficiency with troubleshooting and root cause analysis.
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:
• Required Skills & Experience:
• 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.
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