Operations Support Engineer
Job in
Riyadh, Riyadh Region, Saudi Arabia
Listed on 2026-02-28
Listing for:
Master Works
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Security
Job Description & How to Apply Below
Overview
We are seeking an Operations Support Engineer to support and monitor cloud-based data and analytics platforms. The role focuses on ensuring system stability, performance optimization, incident resolution, and operational excellence across GCP analytics environments and Hadoop ecosystems.
Key Responsibilities- Monitor system health, uptime, and performance of the Slisor portal and backend services (dashboards, APIs, workflows).
- Lead incident triage, root cause analysis, and escalation with engineering teams and vendors.
- Support daily operations of GCP analytics services and data pipelines.
- Oversee ingestion, storage, and consumption layers ensuring scalability and security.
- Track anonymized dataset transfers from on-prem DS/AI platforms to cloud.
- Manage user access, provisioning, and ticket-based support requests.
- Generate operational dashboards (uptime, error trends, campaign metrics, usage analytics).
- Participate in knowledge transfer sessions during new releases.
- Provide on-call/off-hours support for critical incidents.
- 3+ years of experience in platform/application support within data or analytics environments
- Strong knowledge of GCP analytics services (Big Query, Cloud Functions, IAM)
- Hands-on experience with Hadoop ecosystem (Kafka, Spark, Hive, Sqoop, Oozie, HDFS)
- Strong SQL expertise and data pipeline performance optimization
- Experience with ETL pipelines, monitoring tools, and logging systems
- Understanding of APIs, microservices, and system integrations (CRM/BSS adapters)
- Experience using ticketing systems (Jira, Service Now, or similar)
- Ability to analyze logs, troubleshoot performance issues, and coordinate with engineering teams
- Familiarity with data governance, metadata management, lineage, and data quality frameworks
- Preferred Qualifications (Good-to-Have)
- Experience with GCP (Big Query, Dataflow, Pub/Sub) or AWS (Glue, Redshift, Kinesis)
- Data security and masking tools (Apache Ranger, Voltage, IAM policies)
- Knowledge of NDMO standards and enterprise data frameworks (DAMA, DCAM)
- BI/Visualization tools (Power BI, Tableau, Micro Strategy, Looker Studio)
- CI/CD, Git Ops, Docker, Kubernetes, Terraform
- Exposure to telecom domain (BSS, OSS, CDR, usage analytics, CLDM)
- Understanding of data privacy, consent management, k-anonymity
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