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To expand our Data team, we are looking for an experienced Data Ops Team Leader to join a team dedicated to developing, maintaining, and leading enterprise data solutions.
Responsibilities
- Lead and mentor a Data Operations 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, Power BI, 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, Power BI, 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
- Strong leadership and team management abilities
- Excellent communication and collaboration skills
- Analytical mindset and problem-solving skills