Understanding of software architecture concepts - cloud vs. on-premise deployment, command-and-control platforms, digital twins, and system integration.
Proven ability to translate technical capability into commercial value, with strong presentation, proposal writing, and client-facing communication skills.
Ability to prepare clear technical documentation, case studies, and solution collateral.
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Understanding of software architecture concepts - cloud vs. on-premise deployment, command-and-control platforms, digital twins, and system integration.
Proven ability to translate technical capability into commercial value, with strong presentation, proposal writing, and client-facing communication skills.
Ability to prepare clear technical documentation, case studies, and solution collateral.
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Min 3 years experience in ETL/ELT tools such as Talend, Databricks, AWS Glue, Azure Data Factory, EAI).
Experience in scripting languages such as Python, Java, or Scala.
Experience in database and data warehousing using SQL, NoSQL, and RDBMS technologies such as MS SQL, Azure Cosmos DB, AWS DynamoDB, PostgreSQL, etc.
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Deep experience with CCTV or video surveillance systems — IP cameras, NVRs, video management systems, video analytics, and large-scale multi-site camera deployments.
Expertise in on-premise server and software deployment — Linux, containers (Docker/Kubernetes), networking, enterprise infrastructure, and security best practices.
Hands-on experience with AI and AI agents — you have delivered or led agentic AI / LLM-agent projects, and you actively use AI agents in your own workflows.
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