data scientist

senior data scientist

ai engineer

data analyst

data architect

data engineer

Nets-international Communication

Job Summary We are seeking a highly skilled Big Data Engineer (Cloudera) to lead the design, development, and implementation of scalable data solutions. The ideal candidate will possess extensive experience in big data technologies, cloud platforms, and data modeling to support advanced analytics and data-driven decision-making. This role offers an exciting opportunity to work with cutting-edge tools and methodologies in a dynamic environment focused on innovation and excellence.Duties<ul><li>Design, build and maintain robust large&#8208;scale data pipelines using the Cloudera Data Platform (CDP) / Hadoop ecosystem, supporting streaming and batch ingestion of structured and unstructured data.</li><li>Work with big-data frameworks such as Apache Spark, Hive, HDFS, and manage data processing jobs at scale.</li><li>Integrate data from diverse sources (Oracle, Microsoft SQL Server, external APIs, Linked Data) into centralized data lakes or warehouses.</li><li>Collaborate with the cloud team to implement data storage and compute solutions on platforms like AWS, Azure and Cloudera hybrid environments.</li><li>Develop and optimize ETL/ELT processes (using Python, SQL, Shell scripting, Bash) to support analytics, reporting and data science workloads.</li><li>Build data models and schemas appropriate for big data warehouses and analytics&mdash;ensuring performance, scalability, and maintainability.</li><li>Partner with analytics, BI and data science teams to define data requirements, ensure data quality, and make data available in usable form (for dashboards, machine learning, etc.).</li><li>Ensure data governance, security, lineage, and compliance standards are embedded in the data infrastructure.</li><li>Create and maintain documentation of architecture, data flows, processes and best practices.</li><li>Operate within Agile development processes, perform code reviews, and support production operations / incident resolution.</li></ul>Qualifications<ul><li>3-5 years of experience in a Data Engineer or Big Data Engineer role, working with big data technologies and platforms.</li><li>Hands-on experience with Cloudera Data Platform or Hadoop ecosystem: HDFS, Hive, Spark, Impala, etc.</li><li>Proficient in Python and/or Java/Scala for data processing, along with strong SQL skills (Oracle, MS SQL Server or similar).</li><li>Experience developing ETL/ELT workflows using Python, Shell/Bash scripting and SQL.</li><li>Familiarity with cloud data platforms (AWS S3/Glue/EMR, Azure Data Lake or equivalents) and managing data infrastructure in the cloud.</li><li>Understanding of data modelling for large-scale data warehouses, data lakes and analytics platforms.</li><li>Knowledge of RESTful API integration and processing data from APIs or real-time streams is a plus.</li><li>Experience collaborating with data science/analytics teams to support modelling, BI and advanced analytics efforts.</li><li>Excellent problem-solving skills, strong communication skills, and ability to work in a dynamic, multi-functional team environment.</li><li>Exposure to Agile methodologies and CI/CD pipelines for data engineering tasks is a plus.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Big Data Engineer: 3 years (Required)</li></ul>

Big Data Engineer

Forto

<div>
 
 About Us
 
 
 
 What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade &ndash; creating a seamless and efficient logistics process.
 
 
 
 About The Role
 
 
 
 As a Data Engineer, you will play a crucial role in building, maintaining, and scaling Forto&rsquo;s modern cloud-based data infrastructure. You will support and empower stakeholders throughout the company as we move toward globally scaled, highly automated, and data-driven operations.
 
 
 
 Our Current Data Stack Includes
 
 
 
 <ul>
 <li>
 BigQuery for data warehousing
 </li>
 <li>
 Google Cloud Pub/Sub for ingestion
 </li>
 <li>
 dbt for data transformation
 </li>
 <li>
 Apache Airflow (on Composer) for orchestration
 </li>
 <li>
 Python for scripting
 </li>
 <li>
 Monte Carlo and Datadog for observability
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable and reliable data systems to support Forto&rsquo;s innovation in the logistics industry.
 </li>
 <li>
 Collaborate with cross-functional teams&mdash;including Software Engineering, Analytics, and Product&mdash;to deliver impactful data products.
 </li>
 <li>
 Drive the adoption of robust, high-throughput data processing architectures.
 </li>
 <li>
 Partner with stakeholders to promote a strong, data-driven culture.
 </li>
 <li>
 Manage and optimize GCP infrastructure, including CI/CD workflows, Terraform, and container orchestration.
 </li>
 <li>
 Contribute to the ongoing development of our DevOps and Data Engineering best practices.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Proficient in Python, with a strong understanding of data processing libraries, testing strategies, and best practices
 </li>
 <li>
 Highly skilled in SQL, particularly with BigQuery, and experienced with modern data platforms
 </li>
 <li>
 Demonstrated experience building and maintaining large-scale pipelines using Apache Airflow
 </li>
 <li>
 Genuine interest in AI/LLM engineering, including RAG, fine-tuning, prompt engineering, or LLMOps
 </li>
 <li>
 Possess a growth mindset with a drive to learn and keep pace with advancements in data engineering
 </li>
 <li>
 Experienced in cross-functional environments and comfortable engaging in architectural discussions, stakeholder meetings, and collaborative working models (pair/mob sessions)
 </li>
 <li>
 Fluent in written and spoken English
 </li>
 <li>
 Willing to work in a hybrid arrangement, spending at least 2 days per week in the office
 
 
 </li>
 </ul>
 Don&rsquo;t fit all of our criteria? That&rsquo;s okay! We know that you might be hesitant to apply if you don&rsquo;t meet all our requirements, but here at Forto, we pride ourselves on embracing diverse perspectives and celebrating potential. If you are passionate about this position and the Forto values, please apply anyway. There could be a place for you in this role &ndash; or another one that&rsquo;s a perfect fit!
 
 
 
 Why work with us?
 
 
 
 Our team is hard-working, constantly seeking to maximise the impact of their work, but we put our people first, always winning with care. We value efficient systems and swift, direct communication. We want everyone to have their time to speak, so that we can embrace diverse perspectives to help drive towards solutions always.
</div>

Data Engineer (w/m/d)

Hepsiburada (NASDAQ: HEPS)

<div>
 
 At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
 
 
 
 
 
 Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
 
 
 
 
 
 With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
 
 
 
 
 
 For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
 
 
 
 
 
 If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
 
 
 
 
 
 
 
 
 We are seeking a motivated Mid-Level
 
 Data Platform Engineer
 
 to join our central Data Infrastructure team. This is not a typical data engineering role where you just build pipelines. You will be a core builder of our entire data ecosystem.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Design &amp; Develop Core Components:
 
 Build and maintain robust, reusable data connectors (in Java) and data processing libraries (in Python) for various data sources (Kafka, MongoDB, Elasticsearch, etc.) to feed our BigQuery DWH.
 </li>
 <li>
 
 Standardize &amp; Champion Best Practices:
 
 Define, document, and promote best practices for critical data engineering tools like
 
 Airflow
 
 ,
 
 dbt etc.
 
 .
 </li>
 <li>
 
 Own &amp; Operate Key Systems:
 
 Take ownership of our central data catalog (
 
 DataHub
 
 ), ensuring it remains a reliable source of truth. You will also play a key role in the administration and support of our new analytics platform,
 
 SAS Viya
 
 .
 </li>
 <li>
 
 Automate &amp; Optimize:
 
 Develop systems to monitor and control DWH costs, measure data quality across the organization, and ensure data security standards are met.
 </li>
 <li>
 
 Embrace DevOps Culture:
 
 Manage and scale our data infrastructure on
 
 Docker
 
 and
 
 Kubernetes
 
 , and build sophisticated
 
 CI/CD
 
 pipelines in GitLab to automate testing and deployment.
 </li>
 <li>
 
 Innovate &amp; Explore:
 
 Conduct Proof-of-Concept (POC) projects for new data technologies and solutions to continuously evolve our data stack.
 </li>
 <li>
 
 Empower Users:
 
 Develop small full-stack web applications and tools to enable non-technical users to interact with data in a self-service manner.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 2-5 years of hands-on experience in a Data Engineering, Software Engineering, or a similar platform-focused role.
 </li>
 <li>
 Strong programming skills in either
 
 Python
 
 or
 
 Java
 
 . Proficiency in both is a huge plus.
 </li>
 <li>
 Expert-level knowledge of
 
 SQL
 
 and deep understanding of data warehousing concepts, data modeling, and ELT processes. Direct experience with
 
 BigQuery
 
 is highly desirable.
 </li>
 <li>
 Hands-on experience with a workflow orchestration tool, preferably
 
 Airflow
 
 .
 </li>
 <li>
 Familiarity with containerization technologies (
 
 Docker
 
 ) and orchestration (
 
 Kubernetes
 
 ).
 </li>
 <li>
 You have a "platform mindset": you enjoy building tools and creating standards that make other engineers more productive.
 </li>
 <li>
 Experience with version control (Git) and CI/CD practices (preferably GitLab CI).
 </li>
 <li>
 Excellent problem-solving skills and a passion for learning new technologies.
 </li>
 <li>
 Strong communication skills and proficiency in English.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Nice-to-Haves:
 
 
 
 
 
 <ul>
 <li>
 Event-driven architectures and messaging systems like Kafka or RabbitMQ.
 </li>
 <li>
 Modern data transformation tools like
 
 dbt
 
 .
 </li>
 <li>
 Data catalog solutions like DataHub or Amundsen.
 </li>
 <li>
 NoSQL databases such as MongoDB or Elasticsearch.
 </li>
 <li>
 Experience in cloud cost monitoring and optimization.
 </li>
 <li>
 A willingness to learn and own the administration of new enterprise solutions like
 
 SAS Viya
 
 (prior experience is not required, but curiosity is!).
 </li>
 </ul>
 
 
 
 
 
 
 
 https://medium.com/hepsiburadatech
 
 
 https://stackshare.io/hepsiburada
 
 
 
 
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir.Ayd&inodot;nlatma Metni&rsquo;ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ula&scedil;abilirsiniz.
 
 
</div>

Data Platform Engineer

NETS International Group is seeking an experienced Data Modelling Engineer to design, develop, and optimize data models supporting advanced analytics, business intelligence, and cloud-based data solutions. The ideal candidate will build scalable data pipelines, define robust data architectures, and ensure efficient integration across platforms such as MySQL, PostgreSQL, MongoDB, Hadoop, and Azure Data Lake.You will collaborate with data engineers, analysts, and solution architects to establish a unified data foundation aligned with business objectives and analytics needs.Key Responsibilities:<ul><li>Design, develop, and maintain conceptual, logical, and physical data models to support enterprise data architecture and reporting needs.</li><li>Build and manage data pipelines and integrations using ETL tools like Talend, Informatica, and custom scripts (Bash/Unix Shell, Python).</li><li>Collaborate with cross-functional teams to capture business requirements and translate them into optimized data models and schemas.</li><li>Design and optimize database structures in SQL-based platforms (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL systems (MongoDB).</li><li>Implement and maintain data processing across big data ecosystems &mdash; Hadoop, Spark, Hive, and Azure Data Lake.</li><li>Ensure data accuracy, consistency, and governance across distributed data environments.</li><li>Develop data lineage and metadata documentation to support transparency and compliance.</li><li>Optimize query performance and storage design for analytics workloads.</li><li>Collaborate with analytics and BI teams (e.g., using Looker, Power BI) to deliver accurate and performant data models.</li><li>Participate in Agile development cycles, ensuring timely delivery of data solutions.</li><li>Maintain documentation and provide technical support for deployed models and data architectures.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or Data Engineering.</li><li>4&ndash;7 years of experience in data modelling, data architecture, or database design.</li><li>Proven experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).</li><li>Strong understanding of data warehouse and data lake architectures.</li><li>Hands-on experience with ETL tools (Talend, Informatica) and scripting (Bash, Python).</li><li>Familiarity with big data platforms (Hadoop, Spark, Hive).</li><li>Experience in data governance, metadata management, and lineage documentation.</li><li>Knowledge of cloud platforms (AWS, Azure Data Lake, or GCP).</li><li>Excellent understanding of database performance tuning and query optimization.</li><li>Knowledge of dimensional modelling techniques (Star/Snowflake schemas).</li><li>Familiarity with RESTful APIs and data integration for analytical applications.</li><li>Experience with BI tools (Looker, Power BI, or Tableau).</li><li>Exposure to containerized environments (Docker, Kubernetes).</li><li>Understanding of Agile methodologies for collaborative delivery.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Modelling Engineering: 4 years (Required)</li></ul>

Data Modelling Engineer

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Data Centre Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

CALIGO

<div>
 
 
 What are the CALIGO Values?
 
 
 <ul>
 <li>
 We are motivated to be the
 
 Leader,
 
 </li>
 <li>
 We are committed to
 
 Excellence,
 
 </li>
 <li>
 We thrive within our
 
 Team,
 
 </li>
 <li>
 We
 
 Communicate
 
 effectively.
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 <ul>
 <li>
 Working in cross-functional teams as an
 
 M-Shaped Professional
 
 who can bring together several technical capabilities and industry know-how to transform big data into business insight
 </li>
 <li>
 Participating in the
 
 end-to-end project development life cycle
 
 (i.e., requirement analysis, technical design, implementation, testing, documentation, delivery and monitoring)
 </li>
 <li>
 Participating in
 
 data source analysis, requirement analysis and prototyping sessions
 
 as a Data Analyst with the business users to define data needs and Data Quality issues
 </li>
 <li>
 Working as a Data Engineer on
 
 Data Preparation, Data Modeling, Data Integration, Data Visualization, Business Intelligence
 
 activities
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS
 
 
 <ul>
 <li>
 Experience with
 
 DBMS and DB Appliances
 
 (MS SQL Server, Oracle Exadata),
 </li>
 <li>
 Data Wrangling and Programming proficiency in
 
 PLSQL or T-SQL
 
 </li>
 <li>
 Data Integration Tool experience
 
 (Oracle Data Integrator or Informatica)
 
 </li>
 <li>
 BI Tool experience (
 
 SAP Business Objects, Power BI, Tableau or QlikSense
 
 is a plus)
 </li>
 <li>
 Data Modeling experience on Data Modeling Tools (
 
 SAP Power Designer or Erwin Data Modeler
 
 is a plus)
 </li>
 <li>
 Previous
 
 Data and Analytics Services
 
 experience is a plus
 </li>
 <li>
 Previous experience in
 
 Banking
 
 industry, being familiar with business terminology, regulations and standards being imposed on the industry
 </li>
 <li>
 Experience in Data Warehouse Modelling and Applications
 </li>
 <li>
 
 Regulatory Reporting and Financial Reporting
 
 Project experience is a plus
 </li>
 <li>
 Experience in populating huge analytical datasets which are used to support complex decision-making processes
 </li>
 <li>
 Excellent problem solving, documentation, communication and presentation skills
 </li>
 <li>
 Fluency in English and Turkish
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 WHAT DO WE OFFER YOU:
 
 
 <ul>
 <li>
 Opportunity to be a part of a dynamic, motivated and well equipped agile team
 </li>
 <li>
 Opportunity to work with major clients in Banking, Finance, Telco and Insurance industries and learn valuable business know-how
 </li>
 <li>
 Opportunity to expand your technological expertise in Data &amp; Analytics &ndash; both on the job and during CALIGO Academy training sessions.
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 Meal card
 </li>
 <li>
 Extra paid leave days
 </li>
 <li>
 Opportunity to join our CALIGO Rowing Team
 </li>
 </ul>
 
 
 
 
 
 After all the CVs of the applicants are evaluated, only candidates who meet all the requirements for the relevant job will be contacted.
 
 
</div>

Data & Analytics Senior Consultant

Rollic

<div>
 
 
 About Rollic
 
 
 
 
 
 
 Rollic is an Istanbul-based game developer and publisher.
 
 
 Founded in 2019 and acquired in October 2020 by Zynga, who joined the Take-Two roof as of May 2022.
 
 
 
 
 
 Rollic has over 3.5 billion downloads across its diverse portfolio of games and, thanks to an intensive development process utilizing a massive test pipeline, has a steady cadence of globally hit titles such as
 
 
 Color Block Jam, Timeline Up, Crowd Express: Boarding Puzzle, Hole People, Knit Out,
 
 
 all of which have gained millions of downloads worldwide within a few months after their release.
 
 
 
 
 
 
 Main Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Build and maintain robust ETL (Extract, Transform, Load) pipelines to ensure data from various game development studios, user acquisition channels, and app stores is accurately captured, processed, and stored.;
 </li>
 <li>
 Collaborate with game product managers, marketing teams, and user acquisition teams to analyze data related to player behavior, game performance, and monetization strategies;
 </li>
 <li>
 Set up and manage dashboards that track key performance indicators (KPIs) like DAU (Daily Active Users), retention rates, ARPU (Average Revenue Per User), and in-game purchases.;
 </li>
 <li>
 Support game teams in running A/B tests to optimize gameplay mechanics, user experience, or monetization models, ensuring results are properly evaluated and documented;
 </li>
 <li>
 Work closely with data scientists to develop machine learning models, such as churn prediction or lifetime value (LTV) forecasting, and make them actionable for the product teams;
 </li>
 <li>
 Maintain and optimize the company&rsquo;s data infrastructure using platforms like Google Analytics, Tableau, or custom-built analytics tools, ensuring data reliability and scalability.
 </li>
 <li>
 Troubleshoot any data issues related to tracking and reporting.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Write complex data flows in SQL;
 </li>
 <li>
 Design and implement reports in
 
 Tableau
 
 ;
 </li>
 <li>
 Ability to work with and validate complex data sets from various sources;
 </li>
 <li>
 Experience working with large databases;
 </li>
 <li>
 A technical understanding of data modeling, design, and techniques to take business requirements from concept to implementation;
 </li>
 <li>
 Hands-on experience automating data flows and end reporting to a variety of end-users;
 </li>
 <li>
 Proficient in data visualization.
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 
 
 
 
 <ul>
 <li>
 Experience working in the gaming industry is desired though applicants from outside of the industry are welcome
 </li>
 <li>
 Experience with object-oriented programming
 </li>
 <li>
 A passion for gaming
 </li>
 </ul>
 
 
 
 
 
 Discover our perks and benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary to help you reach your highest potential
 </li>
 <li>
 Meal compensation
 </li>
 <li>
 Relocation support to Istanbul
 </li>
 <li>
 State-of-the-art equipment in your welcome package
 </li>
 <li>
 Gaming room &amp; lounge area to relax and recharge
 </li>
 <li>
 A pet-friendly office where your furry friends are welcome
 </li>
 <li>
 Gym area in the Rollic office
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 24/7 online well-being &amp; mental health support
 </li>
 <li>
 Learning &amp; development via Take-Two&rsquo;s employee program
 </li>
 <li>
 A chance to take responsibility and improve your skills continuously.
 </li>
 </ul>
 
 
</div>

Data Analyst, Puzzle

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