Overview

DataOps Specialist Jobs in Doha, Qatar at malomatia

Job Description

A Data Ops Specialist focuses on making data delivery reliable, automated, monitored, repeatable, recoverable, and supportable in production. This role is essential where data platforms, analytics, data quality checks, and AI pipelines must operate with production‑grade discipline.

Required Skills & Competencies

  • Hands‑on experience operating data pipelines, data workflows, data jobs, ETL/ELT processes, or analytics platform workloads
  • Practical experience with data orchestration and scheduling tools such as Airflow, Control‑M, Azure Data Factory, Informatica, dbt Cloud, Dagster, Prefect, or equivalent
  • Working knowledge of CI/CD, version control, release management, and deployment practices for data solutions
  • Hands‑on experience with monitoring, logging, alerting, job failure analysis, and operational dashboards
  • Working knowledge of incident management, change management, problem management, service transition, and production support practices
  • Strong SQL and data troubleshooting capability
  • Working knowledge of data validation, reconciliation, data quality checks, and pipeline control checks
  • Practical experience with cloud or on‑prem data platforms such as Azure, AWS, Google Cloud, Snowflake, Databricks, SQL Server, Oracle, or equivalent
  • Ability to troubleshoot pipeline failures, data load issues, performance problems, access issues, and environment‑related issues
  • Working knowledge of scripting or automation using Python, Bash, Power Shell, or equivalent (desirable)
  • Practical understanding of environment management across development, test, staging, and production
  • Ability to create operational runbooks, support guides, job schedules, escalation procedures, and known issue documentation
  • Understanding of reliability, recoverability, observability, restartability, rollback, and supportability principles
  • Ability to work effectively with data engineering, platform, security, infrastructure, support, and business teams

Responsibilities

  • Support reliable operation of data pipelines, data jobs, workflows, data quality checks, and platform processes
  • Monitor scheduled data workloads, failures, delays, alerts, exceptions, and operational trends
  • Support deployment, release, environment promotion, configuration management, and operational readiness
  • Implement or support automation for repeatable data operations tasks
  • Support logging, monitoring, observability, alerting, and support procedures for data workflows
  • Investigate data pipeline failures, job errors, data load issues, performance issues, and operational incidents
  • Coordinate issue resolution across data engineering, platform, infrastructure, security, and support teams
  • Support data validation, reconciliation, restart, recovery, rollback, and incident response activities
  • Maintain operational runbooks, job schedules, support guides, escalation procedures, and known issue records
  • Support production readiness reviews, service transition, hyper‑care, and business‑as‑usual handover
  • Identify recurring operational issues and recommend automation, monitoring, process, or platform improvements
  • Support data quality monitoring by ensuring checks are scheduled, monitored, reported, and supportable
  • Promote engineering discipline across version control, testing, release management, and operational documentation
  • Help improve the reliability, supportability, and maintainability of data platforms and data products

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Computer Engineering, Cloud Engineering, Engineering, or a related technical discipline.
  • Arabic and English are mandatory.
  • 3–6+ years of experience in Data Ops, data engineering, Dev Ops, ETL/ELT operations, data platform operations, cloud data platforms, data pipeline support, release management, monitoring, or production data support.
  • Experience with data orchestration, CI/CD, observability, incident management, automation, and data quality monitoring is preferred.

Preferred Certifications Include

  • Dev Ops Foundation or equivalent Dev Ops certification
  • Data Ops Fundamentals or equivalent Data Ops training
  • Microsoft Azure Data Engineer, AWS Data Engineer, Google Professional Data Engineer, or equivalent cloud data certification depending on the platform
  • Databricks, Snowflake, dbt, Airflow, Kubernetes, Docker, or equivalent platform/tool certification where relevant
  • ITIL 4 Foundation where production support and service management are important
  • Security, cloud operations, or site reliability engineering certification where relevant

#J-18808-Ljbffr

Title: DataOps Specialist

Company: malomatia

Location: Doha, Qatar

Category:

Apply

Upload your CV/resume or any other relevant file. Max. file size: 800 MB.