Data Ops Team Lead
Posted 7 days ago · 0 applicants
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The role in plain words
- 3+ years of experience managing a Data Operations/DevOps team
- Enterprise ETL tools (DataStage, Informatica)
- Scheduling systems (Control-M or similar)
- BI tools administration (Tableau, PowerBI, BO, or Pyramid)
- Operating systems and IT infrastructure (Linux/Windows)
- Monitoring tools (Grafana, Prometheus, Datadog)
- Big Data technologies (Spark, Kafka)
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceAbout NAYA:
We are a leading global provider of data platform and development professional services.
We are proud to be one of the fastest-growing data and development technology companies worldwide, based in Israel — and we're hiring.
Job Description:
We are seeking an experienced Data Ops Team Lead to manage and guide our Data Operations team. The ideal candidate will have a strong operational background in data systems and proven leadership skills.
Responsibilities:
• Lead and mentor a Data Operations/DevOps team, ensuring high performance and professional growth.
• Oversee operational processes for data systems including ETL, DWH, BI, scheduling, and monitoring.
• Manage and optimize enterprise ETL tools (such as DataStage, Informatica) and scheduling systems (Control-M or similar).
• Administer BI tools (Tableau, PowerBI, BO, Pyramid) and ensure their effective use across the organization.
• Collaborate with IT and infrastructure teams to maintain and improve data platforms on Linux/Windows environments.
• Drive adoption and integration of cloud platforms (GCP, AWS, Azure) and managed services.
• Implement and maintain modern monitoring tools (Grafana, Prometheus, Datadog).
• Support Big Data technologies (Spark, Kafka) and contribute to their integration and optimization.
• Provide DBA support (infrastructure or application level) as needed.
Requirements:
• 3+ years of experience managing a Data Operations/DevOps team.
• Excellent operational experience with data systems (ETL, DWH, BI, scheduling, monitoring).
• Proven hands-on experience with enterprise ETL tools (DataStage, Informatica) and scheduling systems (Control-M or similar) – mandatory.
• Strong administrative knowledge of BI tools (one of: Tableau, PowerBI, BO, Pyramid).
• Solid understanding of operating systems (Linux/Windows) and IT infrastructure.
• Experience working with cloud platforms (GCP, AWS, Azure) and managed services – significant advantage.
• Familiarity with modern monitoring tools (Grafana, Prometheus, Datadog) – advantage.
• Knowledge of Big Data technologies (Spark, Kafka) – advantage.
Personal Skills:
• Strong leadership and team management abilities.
• Excellent communication and collaboration skills.
• Analytical mindset and problem-solving skills.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 3+ years of experience managing a Data Operations/DevOps team, Enterprise ETL tools (DataStage, Informatica), Scheduling systems (Control-M or similar), BI tools administration (Tableau, PowerBI, BO, or Pyramid), Operating systems and IT infrastructure (Linux/Windows)