Department
IT & Data
Key Responsibilities:
Data Integration Platform Management & Strategy:
Administer, configure, and optimize the integration platform.
Contribute to the strategic roadmap and evolution of our data integration platform
landscape, evaluating new technologies and features.
Ensure the platform's security, compliance, and adherence to enterprise
architectural standards.
Platform Operations & Optimization:
Monitor platform performance, identify bottlenecks, and implement solutions for
continuous optimization and scalability.
Manage platform capacity planning.
Apply a strong DevOps mindset to platform operations, actively contributing to
the automation of deployment, monitoring, and management tasks (e.g., CI/CD
pipelines, Jenkins, GitLab)
Operational excellence:
Act as a technical advisor, providing guidance and mentorship to support
and delivery teams, aiding in deep-dive analysis, and troubleshooting for
complex integrations running on the integration platform, ensuring high
availability and optimal performance.
Adhere rigorously to company-wide ITIL processes (incident, change, problem
management) within a 24/7 support window, specifically for platform-related
incidents.
Architecture, Documentation & Standards:
Collaborate closely with data architects and other specialists to define, evolve,
and enforce data integration platform patterns, security standards, and best
practices.
Create and maintain comprehensive, high-quality documentation for platform
configurations, operational runbooks, and architectural designs.
Technical Guidance & Best Practices:
Provide technical expertise and guidance to data integration developers on
leveraging platform capabilities effectively and adhering to best practices for
optimal performance and reliability.
Drive adherence to technical best practices, coding standards, and performance
optimization techniques within the platform's usage.
Process Improvement & Innovation:
Proactively identify and champion opportunities to optimize platform-related
processes, improve efficiency, and enhance data quality through automation,
standardization, and the adoption of new tools and technologies within the
platform ecosystem.
Risk & Issue Management:
Proactively identify, analyze, and escalate complex technical risks and issues
related to platform stability, security, and performance.
Contribute significantly to the development and implementation of robust
mitigation strategies.
Quality Assurance & Testing Strategy:
Develop and execute comprehensive testing strategies for platform capabilities,
upgrades, and new feature deployments, ensuring stability, performance, and
adherence to operational requirements.
Technical Expertise & Thought Leadership:
Stay abreast of and evaluate the latest trends, emerging technologies, and best
practices in data integration platforms, ETL/ELT tools, data streaming
technologies, and cloud data services.
Apply relevant innovations to platform strategy and share knowledge with the
broader team.
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, or a related
technical field.
8+ years of hands-on experience in the administration, optimization, and support of
complex enterprise-grade data integration platforms with a major expertise in KONG.
Proven expertise in managing, configuring, and troubleshooting highly scalable and
performant data integration platforms.
Good understanding and extensive hands-on experience with administering and
optimizing the following integration and ETL tools: OIC, Kafka, Fivetran, Boomi, Workato
or willing to master these platforms as well.
Exceptional analytical, problem-solving, and debugging abilities with a meticulous eye
for detail and a strong focus on platform stability and data integrity.
Excellent communication, collaboration, and interpersonal skills, with the ability to
influence technical discussions and work effectively across diverse teams.
Ability to manage and prioritize multiple complex technical initiatives in a fast-paced,
dynamic environment.
Actively participate in a 24/7 support rotation schedule to ensure continuous
operational coverage.
Preferred Skills:
Strong understanding and practical experience with DevOps principles and practices in a
data platform context
Experience with data governance, data quality frameworks, and metadata management
specifically as it relates to platform capabilities.
Experience with performance monitoring and logging tools for data platforms.
Fluent in English
What We Offer:
A challenging and rewarding opportunity to be a key technical contributor within a global
data engineering team, focusing on critical platform infrastructure.
The chance to work with cutting-edge technologies and contribute to impactful, large-
scale data projects.
A dynamic, collaborative, and innovation-driven work environment.
Significant opportunities for professional growth, continuous learning, and specialization
in data platform technologies.
Competitive salary and benefits package.
WHAT'S IN IT FOR YOU
A family atmosphere , people-centric culture, where your emotional and physical well-being matters.
A company of great colleagues with a global mindset, where you feel welcomed from day one.
A competitive salary , medical insurance for family , retirement benefits
Flexible working hours and a healthy work - life balance
Hybrid work schedule
internal career opportunities, professional development, including access to LinkedIn Learning and many in-house/external training courses
PEOPLE ARE AT OUR HEART
TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.
ABOUT TVH
TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.
Recruiter
Ashitesh Mane
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