Data Specialist

vor 4 Wochen

Bern, Schweiz THRYVE Vollzeit

2 days ago Be among the first 25 applicants Direct message the job poster from THRYVE Connecting the best Tech Talent to companies in Germany. Our average time to hire is 21 days We are seeking a versatile and proactive Data Operations Engineer — a true jack of all trades — to bridge the gap between multiple specialist teams and technologies. This role is ideal for someone eager to learn, connect the dots across systems, and ensure the smooth operation of a complex data environment. The successful candidate will thrive in a collaborative setting, taking ownership of day-to-day system health, incident management, and cross-platform coordination. You will work closely with domain experts while ensuring all systems remain integrated, reliable, and well-documented. About the Role Key Responsibilities Operate daily health checks across Kestra, HVR, dltHub/Snowpipe, dbt, Snowflake Streams/Tasks, Honeydew, Looker, APIs, and AKS. Perform L1/L2 incident triage using documented runbooks and elevate unresolved issues. Maintain and expand runbooks for recurring errors and known issues. Manage incident and service tickets within Azure DevOps Boards/Planner and report on system health and availability metrics. Support release validation and rollback execution during scheduled maintenance windows. Monitor data‑quality alerts and schema drift; execute predefined fixes or escalate to the DAI/DPE lead when required. Act as the first point of contact for dashboard and API issues, coordinating resolution across teams. Ensure complete documentation for operational handover before go‑live and contribute to Safety Gate reviews. Participate in root cause analysis and post‑incident reviews, recommending process and automation improvements. Qualifications Proven experience in DataOps or cloud operations within a Snowflake‑centric environment. Working knowledge of Kestra, dbt, Snowflake Tasks/Streams, Honeydew, Looker, and APIs. Familiarity with GitOps workflows (Azure DevOps YAML) and incident management processes. Strong SQL skills and basic Python knowledge for troubleshooting and automation scripting. Excellent analytical, documentation, and problem‑solving skills with a structured approach. Fluent in English (written and spoken); German proficiency is an advantage but not required. Required Skills Proven experience in DataOps or cloud operations within a Snowflake‑centric environment. Working knowledge of Kestra, dbt, Snowflake Tasks/Streams, Honeydew, Looker, and APIs. Familiarity with GitOps workflows (Azure DevOps YAML) and incident management processes. Strong SQL skills and basic Python knowledge for troubleshooting and automation scripting. Excellent analytical, documentation, and problem‑solving skills with a structured approach. Fluent in English (written and spoken); German proficiency is an advantage but not required. Preferred Skills Curious, collaborative, and eager to learn. Enjoys working across a wide range of tools and technologies, without being tied to one specialism. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology #J-18808-Ljbffr

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