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استخدام DataOps Engineer در گروه مالی کاریزما

(1 month ago)

کارفرما • تهران، تهران

نوع همکاری

تمام وقت

سفرهای کاری

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شرح شغل و وظایف

استخدام گروه مالی کاریزما

گروه مالی کاریزما در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می‌نماید:

Description

job title

Gender: Male and Female
Minimum Required Experience: +2–5 years of experience in DataOps roles supporting distributed systems.
Working Days: Saturday to Wednesday
Job Description
About the Role
We are looking for a highly skilled DataOps Engineer to join our Data Platform team.
This role is responsible for ensuring the stability, reliability, automation, performance, and monitoring of our fully on-premise data infrastructure—including Kafka clusters, NiFi pipelines, Elasticsearch, SQL Server, MySQL, PostgreSQL, MongoDB, ClickHouse, Redis, Vector Databases, and Graph Databases.
Key Responsibilities:
Operate, monitor, and optimize real-time and batch data infrastructures (Kafka, NiFi, Flink, SQL Server, MySQL, PostgreSQL, MongoDB, ClickHouse).
Administer and tune SQL Server (AlwaysOn AGs, performance tuning, backups, maintenance).
Administer and tune MySQL servers: replication, performance tuning, indexing, backups, schema migrations.
Manage Kafka clusters including replication, partitions, retention, consumer lag, throughput optimization.
Operate and optimize Apache NiFi clusters, access control, performance tuning, and flow stability.
Manage and maintain the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) for logs and observability.
Automate infrastructure provisioning and configuration using Ansible (playbooks, roles, orchestration).
Deploy and manage workloads in Kubernetes (resource limits, ingress, deployments, autoscaling).
Implement CI/CD pipelines for data system deployments and configuration updates.
Provide operational support for SQL Server, MySQL, PostgreSQL, MongoDB, Redis, and ClickHouse.
Support new storage engines including Vector Databases (FAISS, Milvus, Vespa) and Graph Databases (Neo4j, JanusGraph).
Build dashboards and alerting mechanisms in Elastic Stack for system reliability and anomaly detection.
Troubleshoot real-time issues: network, storage, cluster imbalance, latency, CPU/memory bottlenecks.
Automate operational tasks via Bash and Python scripts.
Collaborate closely with Data Engineering, Backend, BI, and Product teams for seamless data delivery.
Required Skills & Qualifications:
Strong background in Linux administration, networking, and troubleshooting.
Hands-on experience with SQL Server operations (AG, tuning, backups) and MySQL administration (replication, tuning).
Strong understanding of Kafka internals (brokers, partitions, ISR, retention, quotas, consumer lag).
Experience with Apache NiFi clustering and performance configuration.
Experience with Elastic Stack for log analytics and monitoring.
Proficiency in Ansible for automation and configuration management.
Experience deploying and supporting services on Kubernetes.
Familiarity with PostgreSQL, MongoDB, Redis, and ClickHouse operations.
Understanding or willingness to learn Vector DBs and Graph DBs.
Strong scripting skills using Bash and Python.
Experience operating in on-premise environments (no cloud).
Nice to Have
Kafka Connect, Schema Registry, MirrorMaker2 experience.
Experience with MySQL replication (ROW/BINLOG), MySQL tuning, or Percona tools.
Experience with HAProxy, Nginx, or load balancers in front of databases or Kafka.
Knowledge of DR, backup/restore automation, and high-availability patterns.
Soft Skills:
Strong ownership and accountability for systems.
Calm and structured problem-solving under incident pressure.
Excellent communication and teamwork.
Proactive mindset toward automation and reliability.
High attention to detail and analytical thinking.
What We Offer
The chance to work with mission-critical, large-scale, real-time data systems.
A technically strong, collaborative Data Platform team.
Competitive salary and benefits.
Career growth path toward Senior DataOps or Platform Engineering.
Exposure to advanced systems: Kafka, NiFi, Elasticsearch, SQL Server, MySQL, ClickHouse, Redis, Vector DBs, Graph DBs.

DataOps Engineer

متقاضیان واجد شرایط می توانند با کلیک روی لینک تکمیل فرم استخدام، رزومه خود را ارسال نمایند.

شرایط احراز شغل

سن

18 - 50 سال

جنسیت

فرق نمی کند

تحصیلات

دیپلم

استخدام نیرو انسانی — کلیک کنید

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استخدام DataOps Engineer در گروه مالی کاریزما

استخدام نیرو انسانی — کلیک کنید