Senior Data Engineer

Bell Integration
Municipality of Madrid, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Municipality of Madrid, Spain

Tech stack

Java
Microsoft Active Directory
Artificial Intelligence
Big Data
Cloud Computing
Data Governance
Programming Tools
Distributed Data Store
Fault Tolerance
Java Database Connectivity
Python
Kerberos (Protocol)
Lightweight Directory Access Protocols (LDAP)
OAuth
Open Database Connectivity
Openshift
Ansible
System Availability
Kubernetes
Data Pipelines

Job description

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 Role

Deploy, configure, upgrade, and maintain Starburst Enterprise / Galaxy and Dell Data Lakehouse environments for reliable, high-performing operation.

Fine-tune server, application, and container settings to support scalability and smooth performance.

Integrate Starburst with multiple data sources and set up data catalogues across different modes.

Implement strong security measures, manage vulnerabilities, and ensure alignment with data governance requirements.

Work with support and vendor teams while troubleshooting issues, resolving incidents, and providing thorough root-cause analysis. The Person

Requirements

Excellent communication skills.

Strong background in distributed data systems, including Starburst / Trino administration, Kubernetes / OpenShift, and Big Data / cloud platforms.

Solid Unix / Linux skills with experience in security frameworks (LDAP, AD, OAuth2, Kerberos) and connectivity standards like JDBC / ODBC.

Understanding of high availability, scalability, fault tolerance, and containerised infrastructure design.

Experience with automation and programming tools such as Ansible, Python, or Java.

Familiarity with data lakehouse environments, data pipelines, data federation, and AI / ML data requirements. Diversity, Equality & Inclusion

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