data engineer

data scientist

software engineer

data analyst

devops engineer

data pipeline engineer

<div>
 
 TOM Bank is T&uuml;rkiye&rsquo;s first game-changer digital retail bank with the vision of being the biggest in T&uuml;rkiye and among the five fintech in Europe.
 
 
 TOM , which reached 9 million users in a short time with the Hadi application, is under the umbrella of Ayd&inodot;n Holding which hosts strong brands such as A-101, English Home, Memorial and also includes companies TOM Bank, TOM Digital, TOM PAY, TOM Finansman.
 
 
 TOM Bank is here to change banking!
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Design, build, and operate
 
 data pipelines
 
 on our modern lakehouse stack
 </li>
 <li>
 Develop and maintain
 
 batch and streaming ingestion
 
 processes for mission-critical banking data
 </li>
 <li>
 Implement clean, reliable
 
 data models
 
 using the Medallion architecture
 </li>
 <li>
 Ensure pipeline
 
 performance, reliability, and observability
 
 with best practices in monitoring, testing, and lineage
 </li>
 <li>
 Support
 
 data quality
 
 by building automated checks
 </li>
 <li>
 Collaborate with analytics, product, and engineering teams to understand data needs and deliver scalable solutions
 </li>
 <li>
 Contribute to the continuous improvement of our data environment, engineering standard
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
 </li>
 <li>
 3+ years of experience as a
 
 Data Engineer
 
 in high-volume data environments
 </li>
 <li>
 Hands-on experience with
 
 Spark (PySpark/Scala)
 
 and distributed data processing
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 </li>
 <li>
 Experience with
 
 object storage
 
 (S3 or compatible) and modern table formats (Iceberg/Delta/Hudi)
 </li>
 <li>
 Familiarity with
 
 Airflow
 
 or similar orchestration tools
 </li>
 <li>
 Knowledge of database fundamentals, data warehousing, medallion architecture and data modeling for analytics
 </li>
 <li>
 Nice-to-have: Talend, dbt, Kafka/streaming systems
 </li>
 <li>
 Strong communication skills and the ability to collaborate with cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Who We Are :
 
 
 
 
 
 
 As TOM,
 
 <ul>
 <li>
 Customer Passionate 💜
 </li>
 <li>
 Game Changers 🚀
 </li>
 <li>
 Smart Efficient 🤝
 </li>
 <li>
 Super Clear 😎
 </li>
 <li>
 The Dream Team 🏅
 </li>
 </ul>
 
 
 
 
 
 If you are ready to take off, join us and let&rsquo;s change the future of banking together!
 
 
 
 
 To know us better, download the link :
 
 
 https://hadigeliyorhadi.com.tr/hadi-indir
 
 
 
 
</div>

Data Engineer

Trendyol

<div><div><div>About the Team</div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.</div><div></div><div> 
About the Role</div><div>
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.</div></div>
<div><div><h3 class="jobSectionHeader">Responsibilities</h3><ul><li><ul><li>
Build and maintain scalable data pipelines for batch and real-time data processing.</li><li>
Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions</li><li>
Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams</li><li>
Collaborate with cross-functional teams to define data architecture and infrastructure requirements</li><li>
Monitor and improve pipeline performance, scalability, and resilience</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Expected Qualifications</h3><ul><li><ul><li>
Bachelor's degree in Computer Science, Engineering or related Information Technologies field</li><li>
2+ years of experience as a Data Engineer or in a similar data-focused role</li><li>
Strong Software Engineering skills</li><li>
Experience with Scala or Java programming language</li><li>
Experience with Go programming language is a plus</li><li>
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium</li><li>
Experience with big data processing frameworks such as Apache Spark</li><li>
Familiarity with real-time data processing and streaming architectures for low-latency analytics</li><li>
Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both RDBMS and NoSQL databases</li><li>
Experience with testing frameworks, including unit testing and data quality validation for data pipelines</li><li>
Experience with containerization technologies such as Docker and Kubernetes</li><li>
Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices</li><li>
Strong problem-solving skills and the ability to work independently and collaboratively</li><li>
Strong English communication skills, written and verbal</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Tech Stack</h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Data Integration: Kafka Connect, Debezium</li><li>
Data Processing: Apache Spark</li><li>
Streaming &amp; Messaging: Apache Kafka</li><li>
Workflow Orchestration: Apache Airflow</li><li>
DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform</li><li>
Version Control: Git</li></ul></li></ul></div></div>
<div><div>What We Offer</div><ul><li>Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li>Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</li><li>Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li>Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</li><li>Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.</li><li>A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li>Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li>Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div> 
Take the Next Step</div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 
 
 
 
 
 
 About the Role
 
 
 
 As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines for batch and real-time data processing
 </li>
 <li>
 Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions
 </li>
 <li>
 Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams
 </li>
 <li>
 Collaborate with cross-functional teams to define data architecture and infrastructure requirements
 </li>
 <li>
 Monitor and improve pipeline performance, scalability, and resilience
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering or related Information Technologies field
 </li>
 <li>
 2+ years of experience as a Data Engineer or in a similar data-focused role
 </li>
 <li>
 Strong Software Engineering skills
 </li>
 <li>
 Experience with Scala or Java programming language
 </li>
 <li>
 Experience with Go programming language is a plus
 </li>
 <li>
 Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium
 </li>
 <li>
 Experience with big data processing frameworks such as Apache Spark
 </li>
 <li>
 Familiarity with real-time data processing and streaming architectures for low-latency analytics
 </li>
 <li>
 Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)
 </li>
 <li>
 Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect
 </li>
 <li>
 Strong proficiency in SQL for data manipulation, querying, and optimization
 </li>
 <li>
 Experience with RESTful APIs
 </li>
 <li>
 Experience with both RDBMS and NoSQL databases
 </li>
 <li>
 Experience with testing frameworks, including unit testing and data quality validation for data pipelines
 </li>
 <li>
 Experience with containerization technologies such as Docker and Kubernetes
 </li>
 <li>
 Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and collaboratively
 </li>
 <li>
 Strong English communication skills, written and verbal
 </li>
 </ul>
 
 
 
 
 
 Tech Stack
 
 
 <ul>
 <li>
 Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
 </li>
 <li>
 Data Integration: Kafka Connect, Debezium
 </li>
 <li>
 Data Processing: Apache Spark
 </li>
 <li>
 Streaming &amp; Messaging: Apache Kafka
 </li>
 <li>
 Workflow Orchestration: Apache Airflow
 </li>
 <li>
 DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform
 </li>
 <li>
 Version Control: Git
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

OBSS

<div>
 
 
 Company Description
 
 
 
 OBSS is Turkey&rsquo;s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London, Amsterdam, and Baku, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.
 
 
 
 
 
 OBSS is looking for a
 
 Data Engineer
 
 to join our dynamic team and contribute to delivering high-impact, data-driven solutions. You will work on cutting-edge projects, collaborating with cross-functional teams to build advanced models, generate insights, and design scalable solutions that drive real business outcomes.
 
 
 
 
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 7&ndash;8 years of experience in data engineering or large-scale data projects
 </li>
 <li>
 Design and manage scalable and resilient data pipelines using the Confluent platform
 </li>
 <li>
 Experience working in enterprise Kafka environments, preferably in regulated or large corporate settings
 </li>
 <li>
 Develop solutions for real-time data processing needs
 </li>
 <li>
 Lead performance, reliability, and scalability improvements for data flows
 </li>
 <li>
 Provide support during off-hours for critical production issues when needed
 </li>
 </ul>
 
 
 
 
 
 Qualifications / Technical Skills
 
 
 <ul>
 <li>
 Advanced knowledge of Confluent ecosystem components
 </li>
 <li>
 (Broker, Control Center, Schema Registry, Connect, Replicator, etc.)
 </li>
 <li>
 Expertise in Kafka cluster management, partitioning strategies, throughput optimization, and fault-tolerant design
 </li>
 <li>
 Strong experience with stream processing tools (Kafka Streams, ksqlDB, etc.)
 </li>
 <li>
 Deep understanding of distributed systems and event-driven architectures
 </li>
 <li>
 Proficiency in Python, Java, or Scala (advanced level)
 </li>
 <li>
 Hands-on experience with monitoring, alerting, and logging tools
 </li>
 <li>
 Strong troubleshooting skills, including root-cause analysis in complex production environments
 </li>
 <li>
 Excellent communication and documentation skills
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 Professional Growth &amp; Learning
 
 
 
 As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement.
 
 
 
 
 
 
 Company Culture and Values
 
 
 
 We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued.
 
 
 
 
 
 
 Benefits and Perks
 
 
 
 We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.
 
 
 
</div>

Analythinx | The Data Science Company

<div>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
 </li>
 <li>
 5+ years of professional experience as a Data Engineer in high-volume, data-intensive environments
 </li>
 <li>
 Strong hands-on experience with Apache Spark (PySpark and/or Scala) and distributed data processing
 </li>
 <li>
 Strong proficiency in SQL, including writing and optimizing complex queries on large datasets
 </li>
 <li>
 Experience with object storage systems (S3 or S3-compatible) and modern table formats (Iceberg, Delta Lake, or Hudi)
 </li>
 <li>
 Proven experience designing, implementing, and maintaining scalable data pipelines (ETL/ELT)
 </li>
 <li>
 Experience with workflow/orchestration tools such as Apache Airflow (or similar)
 </li>
 <li>
 Familiarity with real-time data processing and streaming architectures (e.g. Kafka, Spark Structured Streaming, Flink)
 </li>
 <li>
 Solid understanding of database fundamentals, data warehousing concepts, and modern data platform patterns (e.g. medallion architecture / lakehouse)
 </li>
 <li>
 Strong communication skills and the ability to collaborate with cross-functional and client-facing teams
 </li>
 <li>
 Ability to work independently as a consultant, manage priorities, and drive tasks to completion with minimal supervision
 </li>
 </ul>
</div>

Senior Data Engineer

<div>
 
 
 About the Team
 
 
 
 We&rsquo;re shaping the future of financial technology at Trendyol.
 
 
 As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.
 
 
 With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.
 
 
 
 
 
 We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 
 
 
 
 About the Role
 
 
 
 As a Data Developer, you will act as the bridge between raw data and meaningful business insights. You will create the infrastructure that powers our data-driven initiatives, building pipelines and systems that connect disparate data sources and ensure the seamless flow of information. You will play a key role in how we leverage data to make informed decisions by transforming, loading, and managing data so that it is reliable, accessible, and ready for analysis.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Architect and maintain efficient, reusable and reliable data systems.
 </li>
 <li>
 Design data models and data warehousing solutions that support analytics and reporting across the business.
 </li>
 <li>
 Optimize performance of data processes, including monitoring and troubleshooting jobs, managing resource consumption.
 </li>
 <li>
 Enforce governance, security and compliance standards, including data quality, lineage, reliability.
 </li>
 <li>
 Stay current with data technologies and recommend improvements to existing infrastructure and architecture.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifcations
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Management Information Systems, Mathematics or related field.
 </li>
 <li>
 Proficiency in developing data pipelines and ETL/ELT workflows using python, spark or SQL.
 </li>
 <li>
 Advanced SQL skills and familiarity with structured/unstructured data formats.
 </li>
 <li>
 Deep understanding of data processing and optimization in MPP Systems. (Vertica preferred)
 </li>
 <li>
 Experience with workflow management platforms. (Airflow preferred)
 </li>
 <li>
 Experience with real-time data processing and streaming technologies.
 </li>
 <li>
 Proficiency in at least one programming language. (python preferred)
 </li>
 <li>
 Experience with CI/CD pipelines, Git, and Infrastructure as Code (e.g., Terraform) preferred.
 </li>
 <li>
 Our Technology Stack: Vertica, Git, CI/CD, python, Java, Kafka, CDC, Airflow, Docker, Kubernetes.
 </li>
 <li>
 Able to communicate effectively in English, both verbally and in writing.
 </li>
 <li>
 Detail-focused with strong problem-solving and result-oriented skills.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 - Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 - Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 - Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
 
 
 - Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 - Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 - A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 - Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 - Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply today, we look forward to taking the next step with you.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Data Developer

Çalık Enerji

<div>
 
 We, as &Ccedil;al&inodot;k Enerji, offer the energy from nature to the people to build a better and sustainable future.
 
 
 
 
 
 Since its establishment in 1998, the company has become one of the world&rsquo;s leading energy firms, successfully executing projects across Europe, the CIS, the Middle East, Central Asia, Africa, and the Balkans.
 
 
 
 
 
 Operating in Poland, Hungary, Romania, Switzerland, Turkmenistan, Uzbekistan, Libya, Iraq, and Senegal, &Ccedil;al&inodot;k Enerji focuses on three main business lines: EPC Contracting, Distribution &amp; Retail, and Renewable Energy Investments.
 
 
 
 
 
 
 
 
 We are currently seeking a Civil &amp; Structural Design Engineer to join our Engineering Division, based at our headquarters in Istanbul.
 
 
 
 
 
 We are currently seeking an Infrastructure Design Engineer to join our Engineering Division, based at our headquarters in Istanbul.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Civil Engineering or a related discipline.
 </li>
 <li>
 Minimum 5&ndash;10 years of experience in the design of infrastructure works.
 </li>
 <li>
 Strong knowledge of relevant national and international codes and standards.
 </li>
 <li>
 Experience in EPC or industrial facility projects is an asset.
 </li>
 <li>
 Ability to prepare and review design drawings, calculations, BOQs and technical specifications.
 </li>
 <li>
 Proficiency in engineering and drafting software such as Civil 3D, AutoCAD, Hydraflow, SewerGEMS, WaterGEMS, or similar tools.
 </li>
 <li>
 Strong communication and coordination skills, especially within multinational project teams.
 </li>
 <li>
 Good command of English (B2 level or above).
 </li>
 <li>
 No travel restrictions.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Perform design and analysis of infrastructure systems, including site grading, drainage, roads, utility networks and pipeline systems.
 </li>
 <li>
 Prepare and review technical documentation such as design reports, calculations, drawings and bill of quantities.
 </li>
 <li>
 Coordinate with internal disciplines, customers and subcontractors to ensure alignment of infrastructure design with overall project requirements.
 </li>
 <li>
 Attend regular project meetings (weekly/biweekly) and provide technical input when required.
 </li>
 <li>
 Support site teams by responding to technical inquiries and providing clarifications.
 </li>
 <li>
 Ensure that design deliverables meet project timelines, standards and quality expectations.
 </li>
 </ul>
 
 
</div>

Infrastructure Design Engineer

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