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Requirements:
Technical Skills & Requirements: Network Engineering: Proven experience with Cisco environments (LAN/WAN/WLAN), including deep knowledge of L2/L3 protocols (VLANs, PIM, IGMP, Multicast, etc.). Fortinet Expertise: Hands-on experience with FortiGate firewalls, including centralized log management and security policy auditing (FortiAnalyzer, FortiAuthenticator).
Monitoring & Automation: Strong proficiency in Prometheus/Grafana for network monitoring. Experience in automating routine network tasks using Python, Bash, or Ansible.
Infrastructure Integration: Hands-on experience with Cisco and Dell switches. Experience in storage infrastructure integration (iSCSI/FC connectivity, HBA configuration, and Multipathing/MPIO).
Security Architecture: Familiarity with modern network security principles, including Micro-segmentation and Zero Trust Architecture (ZTA).
Documentation: Ability to create high-quality technical documentation, including detailed network diagrams using MS Visio.
Qualifications: At least 3 years of experience in network and systems administration in an enterprise environment. Professional Certification: CCNA required; CCNP or equivalent proven hands-on experience is a significant advantage. Independent, proactive, and responsible team player with strong planning and execution capabilities. Experience with cloud environments (Azure/AWS) – an advantage. Experience with Microsoft 365 security solutions – an advantage.

Requirements:
5+ years of relevant experience as Data Engineer - a must.
Experience with Python based data pipelines/ETLs and other ETL\ELT tools (such as Glue, Rivery, Data Factory, DBT).
High Proficiency in SQL - a must.
Experience designing and developing DWHs in the cloud - Redshift\Snowflake\BigQuery is a must.
Experience with BI & visualizations tools like Tableau\Quicksight\Power BI\Looker.
Knowledge and experience with AI\ML (working with tools like SageMaker\ Bedrock\ Q\ BigQuery ML\ Vertex AI\ Gemini) - big advantage.
Strong analytical and problem-solving skills with attention to details.
High self-learning skills
Fluent English

Requirements:
4+ years combined experience across data platforms, including 2+ years in DBA roles (MongoDB and relational, infrastructure & application).
Practical data engineering experience (Airflow preferred).
AWS experience (1+ year).
Advanced T-SQL development skills.
Proficient with Git and code management workflows.
Strong knowledge of backup, recovery, security, and data integrity.
Strong problem-solving and algorithmic thinking.
Comfortable in a fast-paced environment and meeting deadlines.
Fluent in English.
Nice to have: dbatools, Redgate SQL Toolbelt, Coralogix; CI/CD and Liquibase.

Requirements:
Bachelor's degree in Exact Sciences, with interest and experience in Computer Science or Software Engineering
3+ years of experience in SW development
Knowledge of C/C++ with practical experience
Good self-learning capabilities of new technologies and systems
Good team player with capabilities to also work independently
Knowledge of Git and GitLab with practical experience - Advantage
Experience with Image Processing Algorithms - Advantage.