Intetics

- **Monitor and update information on road traffic incidents** across assigned regions - **Work with real-time data** from multiple sources - **Record key incident details**, including location, direction of travel, and other relevant information - **Update incident records** as conditions change - **Close incidents** once they have been resolved and confirmed

• Monitor and update information on road traffic incidents across assigned regions • Work with real-time data from multiple sources • Record key incident details, including location, direction of travel, and other relevant information • Update incident records as conditions change • Close incidents once they have been resolved and confirmed

• Plan and conduct interviews with executives, founders, investors, and policymakers. • Discover technology needs of target companies and make introductions to Intetics. • Produce coverage: news pieces, features, profiles, and analysis. • Research markets, companies, and trends; verify facts and sources. • Prepare briefings, question sets, and post-event summaries. • Collaborate with editors and adhere to editorial standards and deadlines.

Role Description Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Research & Communications Specialist to join our dynamic team. Seeking a qualified journalist who can secure media accreditation at major business conferences and conduct high-quality interviews, research, and written coverage. The role requires credibility with event organizers, ability to uncover business needs and problems that could be resolved by custom software, and the ability to produce clear, decision-useful business content on tight deadlines. Key Responsibilities - Plan and conduct interviews with executives, founders, investors, and policymakers. - Discover technology needs of target companies and make introductions to Intetics. - Produce coverage: news pieces, features, profiles, and analysis. - Research markets, companies, and trends; verify facts and sources. - Prepare briefings, question sets, and post-event summaries. - Collaborate with editors and adhere to editorial standards and deadlines. Qualifications - Strong interviewing skills with senior stakeholders. - Solid understanding of business/IT sectors. IS A MUST! - Excellent writing, editing, and fact-checking skills. - Bachelor’s degree in Journalism, Communications or related field (or equivalent experience). - Experience covering business events. - Multimedia skills (audio/video interviews, live reporting). - Willing and able to attend conferences worldwide. IS A MUST! - C1 level of English IS A MUST! - Ukrainian/Russian would be a plus. Output Expectations - Making intros to Intetics after interviews and event participation. - Conference and target analysis for best efficiency. - Executive interviews with publishable transcripts and summaries to continue engagements with targets. - Research-backed articles with sourced data and clear takeaways published no-name by Intetics.

• Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows. • Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders. • Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs. • Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions. • Support new customer onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one. • Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments. • Own the Delta Lake architecture, including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns. • Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise business data. • Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports predictive analytics. • Apply and enforce multi-tenant data isolation patterns, ensuring reliable and secure data delivery across enterprise customers. • Partner with the Enterprise Architecture team to ensure data pipelines integrate seamlessly with the broader AI and analytics ecosystem. • Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones. • Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios. • Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery.

Role Description Impact You Will Make in the Role: - Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows. - Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders. - Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs. - Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions. - Support new customer onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one. - Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments. - Own the Delta Lake architecture, including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns. - Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise business data. - Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports predictive analytics. - Apply and enforce multi-tenant data isolation patterns, ensuring reliable and secure data delivery across enterprise customers. - Partner with the Enterprise Architecture team to ensure data pipelines integrate seamlessly with the broader AI and analytics ecosystem. - Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones. - Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios. - Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery. Qualifications - 4+ years of data engineering experience. - At least 2 years of experience with Databricks or the Apache Spark ecosystem across Azure and/or AWS. - Proficiency in PySpark, SQL, and Python with a strong track record of building and operating production-grade pipelines under SLA constraints. - Hands-on experience with Delta Lake, including schema evolution, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns. - Hands-on experience with pipeline performance tuning and compute optimization in production Databricks environments. - Solid working knowledge of PostgreSQL, including query optimization, schema design, and use as a source or sink in production data pipelines. - Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production. - Experience supporting large-scale multi-tenant architectures with a focus on tenant isolation, per-tenant performance, and data privacy, including navigating tools and platforms that default to single-tenant assumptions. - Proven ability to work collaboratively across data science, product, and infrastructure teams, owning end-to-end delivery in a cross-functional environment. - Strong understanding of data governance, security, and compliance principles, including access control, data privacy, and protection of sensitive enterprise data across multi-tenant environments. Preferred Qualifications / Experience - Experience operating Databricks workspaces across both Azure and AWS, including cost governance, cluster management, and cross-cloud data access. - Experience optimizing Databricks workloads in a Serverless environment, including compute cost governance and performance tuning for serverless compute. - Experience with Microsoft SQL Server in a data engineering or ETL context. - Exposure to ML feature engineering or feature stores (Databricks Feature Store, Feast, or similar) supporting predictive analytics. - Experience with customer onboarding automation or Infrastructure as Code (IaC) patterns for provisioning tenant data pipelines at scale. - Databricks Certified Data Engineer Associate or Professional certification.

• Plan, design, and execute manual and automated test cases to validate product functionality, performance, and security. • Perform functional, regression, smoke, and integration testing, ensuring coverage of positive, negative and edge cases. • Map test cases to business requirements and functional designs, ensuring complete traceability. • Document and report defects, verify bug fixes, and ensure timely resolution in collaboration with development teams. • Maintain a strong understanding of processes, system flows, and data requirements to validate overall system behavior. • Develop and maintain automation frameworks to enhance efficiency, maintainability, and scalability. • Implement automation scripts using Java and Selenium WebDriver, leveraging design patterns such as the Page Object Model. • Integrate automated tests into CI/CD pipelines and identify opportunities to optimize test execution within DevOps workflows. • Continuously evaluate and recommend new technologies, tools, or processes that improve QA effectiveness. • Partner with QA Lead, developers, and product managers to define acceptance criteria and clarify requirements. • Contribute to the definition and execution of the team’s quality assurance strategy and test plans. • Support the transition of existing manual test cases into automated suites where appropriate. • Evangelize quality assurance best practices within the engineering team.

• Identify and research potential investors, including angel investors, private investors, funds, and business contacts • Build and manage a high-quality investor pipeline • Approach and engage relevant investors through warm introductions, direct outreach, networking, and other channels • Present and pitch the project in a clear, compelling, and credible way • Translate the product vision, market opportunity, and business potential into a strong investor narrative • Manage communication and follow-ups with potential investors throughout the fundraising process • Support investor conversations, negotiations, and deal structuring together with the project stakeholders • Help refine fundraising materials, messaging, and positioning based on investor feedback • Drive the fundraising process from initial contact to closing

Role Description As a Senior Software Engineer, you will play a key role in designing, developing, and enhancing scalable software solutions within our platform. Working as part of a cross-functional Scrum team, you will contribute across the entire software development lifecycle, helping deliver reliable, maintainable, and high-performance applications that support business-critical operations. You will collaborate closely with engineers, architects, product managers, and other stakeholders to solve complex technical challenges and build innovative solutions. This role is ideal for someone who enjoys continuous learning, thrives in an agile environment, and is passionate about using modern technologies to create meaningful impact. Responsibilities - Take an AI-driven approach to software development, and use GAI tools across all stages of the SDLC to accelerate development and deliver high quality, performant, secure products. - Champion the use of GAI tools, and define workflows around their use as it pertains to all stages of the SDLC. - Produce clean, maintainable code following team standards and best practices. - Implement features or components of larger features. - Produce unit tests to verify functionality. - Identify and fix bugs prior to feature delivery. - Participate in code reviews and incorporate feedback from other team members. - Participate in scrum ceremonies and deliver commitments according to estimates. - Provide technical leadership through mentoring team members, delivering product demonstrations, and offering guidance to both internal teams and external organizations. Qualifications - Take an AI-driven approach to software development, and use GAI tools across all stages of the SDLC to accelerate development and deliver high quality, performant, secure products. - Champion the use of GAI tools, and define workflows around their use as it pertains to all stages of the SDLC. - Produce clean, maintainable code following team standards and best practices. - Implement features or components of larger features. - Produce unit tests to verify functionality. - Identify and fix bugs prior to feature delivery. - Participate in code reviews and incorporate feedback from other team members. - Participate in scrum ceremonies and deliver commitments according to estimates.

• Інцидентне редагування дорожніх інцидентів у реальному часі для глобальної картографічної платформи • Робота з даними англійською мовою, застосуючи чіткі правила • Концентрація під час нічних змін