data scientist

business analyst

data analyst

software engineer

senior data scientist

data engineer

Accenture

<div><div>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</div><div> 
What&rsquo;s in it for you?<div>
&#10024;Work-Life Balance: Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</div><div>
Health &amp; Wellness: Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</div><div>
Transportation: Shuttle service / Transportation support</div><div>
 Financial Benefits: Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points</div><div>
Professional Development: Learning budget / Personal career development with People Leads / Buddy Program</div><div>
Work Environment: Working on international projects with a globally diverse team / A fast-paced technology environment</div></div></div>
 
<div>We&rsquo;re looking for a Cloud Data Engineer to join our dynamic Use Case Development team. This team is responsible for building end-to-end data-driven solutions using cloud technologies and modern data platforms. From ingesting and transforming data to creating intuitive front-end interfaces, you&rsquo;ll play a key role in delivering impactful use cases that drive business value. 
What You&rsquo;ll Do<ul><li>
Design and implement scalable data pipelines and ETL processes using cloud-native tools.</li><li>
Collaborate with business stakeholders to gather requirements and translate them into technical solutions.</li><li>
Develop and maintain infrastructure as code using Terraform and AWS CDK.</li><li>
Support the full software development lifecycle (SDLC), including testing (UAT) and release.</li><li>
Work with modern data platforms and visualization tools to deliver insights.</li></ul>
Key Technologies<ul><li>
Cloud Platforms: AWS (EMR, Glue, S3, Lambda, ECS, ECR, Kinesis, IAM, Athena, DynamoDB, CodeBuild, CloudWatch, SNS, SQS, CDK, RDS, Networking &amp; Security Groups)</li><li>
Data Engineering: Python, PySpark, Apache Spark, Apache Iceberg, Kafka (Streaming)</li><li>
Infrastructure: Terraform</li><li>
Visualization: QuickSight</li><li>
Front-End: JavaScript, TypeScript</li><li>
Data Platforms: Palantir Foundry</li></ul>
Ideal Candidate<ul><li>
Strong experience in cloud data engineering and building production-grade pipelines.</li><li>
Proficient in Python and PySpark for data processing.</li><li>
Familiarity with AWS services and infrastructure automation.</li><li>
Experience with modern data platforms and visualization tools.</li><li>
Comfortable working across the SDLC and engaging with business stakeholders.</li></ul><div></div><div>
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals.</div><div>
#GreatPlaceToWork</div><div> 
Apply Now!</div></div>

Cloud Data Engineer – Use Case Development Team

Cimri

<div>
 
 We are looking for an enthusiastic Machine Learning Engineer/Data Scientist to join our dynamic team. You will work on developing high-throughput, low-latency ML systems that impact millions of users daily. Our ecosystem is fully distributed and microservice-structured, hosted on AWS.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and optimize large-scale machine learning solutions.
 </li>
 <li>
 Design and implement ML applications while maintaining high coding standards.
 </li>
 <li>
 Enhance NLP systems for product matching, deduplication, and entity resolution using BeRT, Sentence-Transformers, etc.
 </li>
 <li>
 Improve visual transformer-based image search and deduplication systems with OpenCV, CLIP, and Milvus.
 </li>
 <li>
 Monitor and track model performance using the ELK stack and take necessary actions.
 </li>
 <li>
 Clean, preprocess, and analyze large datasets to extract meaningful insights.
 </li>
 <li>
 Design and conduct experiments to evaluate and optimize ML models.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related fields.
 </li>
 <li>
 3+ Years Experience in Machine Learning/Data Science
 </li>
 <li>
 Experience in building NLP solutions in fields like product matching, classification, search, or recommendation.
 </li>
 <li>
 Proficiency in Python and NLP libraries such as NLTK, SpaCy, Hugging Face Transformers.
 </li>
 <li>
 Familiarity with data science libraries (Scikit-Learn, Numpy, Pandas) and deep learning frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Experience in MLOps, including Feature Store, Model Serving design, and operations.
 </li>
 <li>
 Strong foundation in computer science and statistics.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with CI/CD tools like Jenkins or Octopus.
 </li>
 <li>
 Knowledge of TensorBoard and MLFlow.
 </li>
 <li>
 Experience with AWS or GCP environments.
 </li>
 <li>
 Understanding of Backend and RestAPI Development.
 </li>
 <li>
 Experience with Triton Inference Server and Go is a plus.
 </li>
 </ul>
 
 
 
 
 
 Cultural Fit
 
 
 <ul>
 <li>
 A proactive "can do" attitude with a solution-oriented mindset.
 </li>
 <li>
 Passion for coding and enjoying the process of creating innovative solutions.
 </li>
 </ul>
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the https://www.cimri.com/kisisel-verilerin-korunmasi-hakkinda-bilgilendirme.
 
</div>

Machine Learning Engineer/Data Scientist

Pazarama

<div>
 
 
 Hi, I've got something to share with you!
 
 
 
 
 
 
 My name is Pazarama.
 
 
 
 
 
 
 Who am I?
 
 
 
 
 
 
 I&rsquo;m an e-commerce platform that makes life easier for my customers and business partners&mdash;a place where you can find everything you need. My name is a blend of the words "Bazaar" and "Panorama." I'm here to offer a panoramic view of the e-commerce world, creating a marketplace where everyone can find what they&rsquo;re looking for. Plus, with the strength of being a subsidiary of &Idot;&scedil; Bank and my broad perspective, I aim to create a sustainable shopping ecosystem.
 
 
 I&rsquo;m everywhere, making it easy for you to reach me: Pazarama mobile, the Pazarama website, &Idot;&scedil;Cep, Maximum Mobile and physical stores.
 
 
 From hotel and flight bookings to car rentals, online shopping to transportation card top-ups, even fuel payments without leaving your car, and exciting sweepstakes&mdash;I provide an all-in-one platform to meet all your needs.
 
 
 But that's not all... I aim to please those who choose me by offering payment options packed with discounts, instalment plans, and rewards. I don't just make shopping easier; I make it more rewarding with everything I&rsquo;ve mentioned. I&rsquo;m constantly evolving, enhancing myself and my technologies for my users and business partners.
 
 
 
 
 
 
 So, what can I do for you?
 
 
 
 
 
 
 This is a journey, and we&rsquo;re in it together. We&rsquo;ll enhance your skills with career-supporting training and create opportunities to achieve your dreams together. Every step of the way, we&rsquo;ll make this journey more vibrant with your ideas, enthusiasm, and talents. In this adventure, where you won&rsquo;t be afraid of making mistakes, we can turn your dreams into reality together.
 
 
 If you want to join me on this journey, apply for the position below and become part of our team!
 
 
 
 
 
 Pazarama is with you on your career journey 💙
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 A great team player with a creative, self-initiative mindset
 </li>
 <li>
 Excellent communication skills and problem-solving abilities
 </li>
 <li>
 2+ years of experience working as Data Scientist, Machine Learning Engineer or equivalent
 </li>
 <li>
 BS/MS degree in quantitative field (data science, computer engineering/science, information systems, software engineering, mathematics, statistics, or a similar field), or equivalent experience
 </li>
 <li>
 Experience in applying statistical solutions to solving business problems
 </li>
 <li>
 Fluency in Python and SQL
 </li>
 <li>
 Experience using analytics related libraries and AI/ML frameworks (e.g. scikit-learn, pandas, PyTorch, Tensorflow, PySpark)
 </li>
 <li>
 Active engagement with new trends in technology
 </li>
 </ul>
 
 
 
 
 
 Responsible for:
 
 
 
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Perform mining, preparation and preprocessing of structured and unstructured data
 </li>
 <li>
 Converting data into meaningful insights and presenting information using data visualization tools and techniques
 </li>
 <li>
 Collaborate with stakeholders across the organization to create data-driven business solutions
 </li>
 <li>
 Conduct projects end-to-end from initial business case through development and production
 </li>
 <li>
 Design, develop and test machine learning and deep learning pipelines and platforms
 </li>
 <li>
 Focus on quality, accuracy and consistency of data, reporting data quality issues to both data owners and technical staff
 </li>
 </ul>
 
 
 
 
 
 Preferred if:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in relational (SQL Server) and non-relational databases (Mongo DB)
 </li>
 <li>
 Knowledge of typical BI/data analytics tools (PowerBI/Tableau)
 </li>
 <li>
 Fluency in other programming languages (e.g. Scala, C#, Java) is a plus
 </li>
 <li>
 Hands-on experience with workflow management platforms (e.g. AirFlow, MLFlow, MLRun)
 </li>
 <li>
 Experience with Computer Vision, Image Processing, Natural Language Processing (NLP) techniques, recommendation systems and applications
 </li>
 <li>
 Participation in competition platforms like Kaggle
 </li>
 <li>
 Experience in cloud platforms (Amazon Web Services, Google Cloud Platform or Microsoft Azure) with related tools
 </li>
 <li>
 Experience in modern DevOps practices and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of recommendation and personalization systems, with experience in e-commerce environments is a big plus
 </li>
 </ul>
 
 
 
 
 
 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 Topkap&inodot; Dan&inodot;&scedil;manl&inodot;k Elektronik Hizmetler Pazarlama ve Ticaret A.&Scedil;. 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://cdn.pazarama.com/docs/is-basvurusu-aydinlatma-metni.pdf
 
 linkinden ula&scedil;abilirsiniz. &Idot;lan&inodot;m&inodot;za ba&scedil;vuru yapman&inodot;z halinde ilgili metnin t&uuml;m&uuml;n&uuml; onaylam&inodot;&scedil; kabul edileceksiniz.
 
 
</div>

Data Scientist

Bilyoner

<div>
 
 We are looking for a Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Max. 4 year of relevant experience,
 </li>
 <li>
 MS or Bachelors degree in Computer Science, Statistics or other quantitative field,
 </li>
 <li>
 Experience in building Algorithms from scratch and take it to production in a scalable way,
 </li>
 <li>
 Extensive practical hands-on experience in exploratory data analysis,
 </li>
 <li>
 The clear understanding of modern machine learning and statistical analysis methods,
 </li>
 <li>
 Proven experience at SQL and programming language Python,
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.,
 </li>
 <li>
 Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ayd&inodot;nlatma Metni
 
 
 
 
 https://bilyoneradmins-my.sharepoint.com/:w:/g/personal/apply_bilyoner_com/EVkBNXP6V3FJss0cuCBoqIkB7OoIg1U1M4WtwWRvpenQfQ?e=EbB2ks
 
 
</div>

Sigortam.net

<div>
 
 
 We are embarking on an exciting journey at Sigortam.net!
 
 As the first and largest insurance marketplace in Turkey, Sigortam.net currently cooperates with 25+ insurance companies to serve 10+ million customers and this is just the beginning.
 
 Our dream is to become the leading tech company in the region
 
 , which brings a positive impact to the insurance sector through better customer experience driven by technology.
 
 
 
 
 
 
 We strongly believe in the value of putting people first
 
 &ndash; our colleagues and customers &ndash; and are rebuilding the organization with exceptional talent.
 
 We are a team of empowered individuals with a growth mindset
 
 and desire to learn in a fast-paced environment.
 
 We are looking to welcome colleagues who will take full ownership
 
 , challenge the status-quo, persist in the face of setbacks and test new things.
 
 Fast and data-driven decision-making is part of our DNA
 
 : We believe in the value of making fast decisions, learning and improving.
 
 
 
 
 
 
 At Sigortam.net, we succeed or fail as a team
 
 . Our colleagues do not feel threatened by the success of others, but rather find inspiration in them.
 
 Humility is a "must have"
 
 quality we seek in every candidate we meet. If you are up for this challenge and exciting journey, come and join us!
 
 
 
 
 
 Sigortam.net is currently seeking a
 
 "Data Scientist"
 
 to join their Data Analytics team. In this role, you will play a key part in developing and optimizing
 
 machine learning models, data pipelines, and analytical frameworks
 
 that power our decision-making processes. This position requires a blend of
 
 technical expertise and strategic thinking
 
 , with a strong focus on leveraging
 
 data science and AI-driven insights
 
 to enhance business outcomes.
 
 
 
 
 
 The
 
 Data Analytics Chapter
 
 at
 
 Sigortam.net
 
 is responsible for shaping and executing the company's
 
 data analytics strategy
 
 . Our mission is to drive
 
 data-driven decision-making
 
 with a strong customer focus while fostering a culture of data literacy across the organization. We actively promote the adoption of
 
 data-driven solutions
 
 to enhance business impact.
 
 
 
 
 
 We are looking for a
 
 Data Scientist
 
 to join our team and contribute to our data-driven initiatives.
 
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 
 
 or a related STEM discipline with strong quantitative skills.
 </li>
 <li>
 
 1&ndash;3 years
 
 of hands-on experience in
 
 Data Science
 
 ,
 
 Machine Learning
 
 , or
 
 AI
 
 projects
 </li>
 <li>
 
 Strong proficiency in Python and SQL
 
 is essential, with hands-on experience in
 
 data manipulation (Pandas, NumPy), machine learning (Scikit-learn), and working with large-scale datasets
 
 .
 </li>
 <li>
 
 Hands-on experience with LLM ecosystems
 
 (OpenAI, Hugging Face, LangChain, vector DBs such as Pinecone or Milvus) and prompt engineering / fine-tuning is a strong plus.
 </li>
 <li>
 Solid understanding of
 
 statistical modeling
 
 ,
 
 data mining
 
 , and
 
 ML lifecycle
 
 : from feature engineering to model tuning, evaluation, and deployment
 </li>
 <li>
 
 Familiarity with MLOps practices
 
 , such as
 
 model monitoring, versioning, automated retraining, and deployment pipelines
 
 . Experience with
 
 MLflow
 
 for experiment tracking, model management, and lifecycle automation is a plus
 </li>
 <li>
 
 Experience in managing and optimizing Datamart structures
 
 , ensuring data integrity, performance, and scalability
 </li>
 <li>
 Comfortable building and updating dashboards using
 
 Power BI
 
 (or similar tools); knowledge of visualization libraries such as matplotlib, seaborn, or plotly is a plus
 </li>
 <li>
 Excellent communication skills, capable of simplifying complex information into actionable and executable points for both
 
 C-level executives
 
 and
 
 business units
 
 </li>
 <li>
 Ability to extract valuable insights from data and adeptly craft engaging narratives that truly resonate with
 
 business stakeholders
 
 through
 
 powerful storytelling
 
 </li>
 <li>
 Experience with
 
 Git
 
 </li>
 <li>
 
 Agile
 
 methodology knowledge is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 
 Conduct exploratory data analysis
 
 
 (EDA)
 
 to gain deep insights into the dataset, enabling effective evaluation and drawing meaningful conclusions.
 </li>
 <li>
 Collaborate with cross-functional teams (product, growth, engineering, operations) to
 
 translate business needs into data solutions
 
 , uncover customer issues, and develop measurable impact.
 </li>
 <li>
 Take end-to-end ownership of the
 
 analytics and modeling lifecycle
 
 &mdash;from problem framing to deployment&mdash;ensuring solutions are robust, scalable, and aligned with business goals.
 </li>
 <li>
 
 Develop and maintain machine learning models,
 
 ensuring they remain
 
 accurate
 
 
 and
 
 
 relevant
 
 by monitoring performance, detecting drift, and retraining when necessary.
 </li>
 <li>
 
 Implement and oversee MLOps processes
 
 , including
 
 model deployment, versioning, and automation,
 
 to ensure models are efficiently integrated into
 
 production environments.
 
 </li>
 <li>
 
 Design and deploy LLM-powered solutions
 
 such as retrieval-augmented generation pipelines (RAG), document Q&amp;A systems, and customer service chatbots that drive internal efficiency and enhance customer experience.
 </li>
 <li>
 Proactively explore emerging techniques in
 
 ML and Generative AI
 
 , especially those applicable to the insurance domain, and champion their adoption where they create value.
 </li>
 </ul>
 
 
 
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the
 
 https://www.sigortam.net/calisan-adayi-aydinlatma-metni/
 
 link.
 
</div>

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Yapı Kredi

<div>
 
 
 
 Yap&inodot; Kredi - Uzman Veri M&uuml;hendisi
 
 
 
 
 
 
 
 Yap&inodot; Kredi olarak 1944&rsquo;ten beri ilklerin, yeniliklerin ve k&uuml;lt&uuml;r sanat&inodot;n bankas&inodot;y&inodot;z. Finans sekt&ouml;r&uuml;n&uuml;n tart&inodot;&scedil;mas&inodot;z lideri olma vizyonuyla yolumuzda ilerliyor, her ad&inodot;m&inodot;m&inodot;zda payda&scedil;lar&inodot;m&inodot;za ve &uuml;lkemize de&gbreve;er kat&inodot;yoruz. Bug&uuml;n&uuml; oldu&gbreve;u kadar gelece&gbreve;i de &ouml;nemsiyor, s&uuml;rd&uuml;r&uuml;lebilirli&gbreve;i i&scedil; k&uuml;lt&uuml;r&uuml;m&uuml;z&uuml;n merkezine yerle&scedil;tiriyoruz.
 
 
 
 
 
 Sen de bug&uuml;ne ve gelece&gbreve;e de&gbreve;er katan, yenilik&ccedil;i fikirlerin pe&scedil;inden giden, g&uuml;c&uuml;n&uuml; birbirinden alan bir ekibin par&ccedil;as&inodot; olmak istersen hemen aram&inodot;za kat&inodot;l.
 
 
 
 
 
 
 Uyum, &Idot;&ccedil; Kontrol ve Risk Y&ouml;netimine ba&gbreve;l&inodot; Kredi Riski Veri M&uuml;hendisli&gbreve;i ekibimizde g&ouml;rev alacak Uzman Veri M&uuml;hendisi ar&inodot;yoruz!
 
 
 
 
 
 
 
 
 Uzman Veri M&uuml;hendisinin sorumluluklar&inodot; neler?
 
 
 
 
 
 
 <ul>
 <li>
 Makine &ouml;&gbreve;renimi modellerinin canl&inodot;ya al&inodot;m&inodot;,
 </li>
 <li>
 Gereksinimleri anlamak &uuml;zere payda&scedil; ekiplerle &ccedil;al&inodot;&scedil;abilmek i&ccedil;in ileti&scedil;im kurulmas&inodot;,
 </li>
 <li>
 Veri kaynaklar&inodot;n&inodot;n analitik s&uuml;re&ccedil;lerde kullan&inodot;m&inodot; i&ccedil;in da&gbreve;&inodot;t&inodot;k hesaplama y&ouml;ntemlerinden faydalanarak s&inodot;f&inodot;rdan ETL/ELT ak&inodot;&scedil;lar&inodot;n&inodot;n olu&scedil;turulmas&inodot;,
 </li>
 <li>
 &Ccedil;e&scedil;itli analitik platformlarda b&uuml;y&uuml;k veri setleri &uuml;zerinde da&gbreve;&inodot;t&inodot;k hesaplama y&ouml;ntemlerini kullanarak ba&scedil;tan uca makine &ouml;&gbreve;renmesi modelleme ak&inodot;&scedil;lar&inodot;n&inodot;n olu&scedil;turulmas&inodot; ve otomatik yeniden &ouml;&gbreve;renme s&uuml;recinin kurgulanmas&inodot;.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Bu rol i&ccedil;in arad&inodot;&gbreve;&inodot;m&inodot;z nitelikler neler?
 
 
 
 
 
 
 <ul>
 <li>
 &Uuml;niversitelerin Bilgisayar M&uuml;hendisli&gbreve;i, Elektrik ve Elektronik M&uuml;hendisli&gbreve;i, End&uuml;stri M&uuml;hendisli&gbreve;i ve ilgili Bilgi Teknolojileri b&ouml;l&uuml;mlerinden lisans veya tercihen y&uuml;ksek lisans mezunu,
 </li>
 <li>
 Veri m&uuml;hendisli&gbreve;i alan&inodot;nda tercihen b&uuml;y&uuml;k veri teknolojileri &uuml;zerine en az 2 y&inodot;ll&inodot;k uygulamal&inodot; deneyimi bulunan,
 </li>
 <li>
 SQL performans ayarlama, karma&scedil;&inodot;k sorgular yazma, optimizasyon, ili&scedil;kisel veri tabanlar&inodot; ve PL/SQL, MS/SQL gibi veri depolama ara&ccedil;lar&inodot; ile &ccedil;al&inodot;&scedil;ma konusunda yeterlili&gbreve;e sahip,
 </li>
 <li>
 Python programlama konusunda uygulamal&inodot; deneyime sahip,
 </li>
 <li>
 Python/PySpark kullanarak on premise veri kaynaklar&inodot; ve harici sistemler ile ETL/ELT i&scedil; ak&inodot;&scedil;lar&inodot; geli&scedil;tirme konusunda uzmanl&inodot;k sahibi,
 </li>
 <li>
 Tercihen PySpark ile b&uuml;y&uuml;k &ouml;l&ccedil;ekli toplu ve ger&ccedil;ek zamanl&inodot; veri i&scedil;lem hatlar&inodot; tasarlama, olu&scedil;turma ve &ccedil;al&inodot;&scedil;t&inodot;rma deneyimi bulunan,
 </li>
 <li>
 Tercihen Linux tabanl&inodot; sistemlerde Shell scripting konusunda deneyimli.
 </li>
 </ul>
 
 
 
 
 
 
 Yap&inodot; Kredili olmak sana neler katacak?
 
 
 
 
 
 
 
 📖 Yap&inodot; Kredi Akademi ile s&inodot;n&inodot;rs&inodot;z geli&scedil;im,
 
 
 🏆Fark yaratan ba&scedil;ar&inodot;lar&inodot;n &ouml;d&uuml;llendirece&gbreve;i takdir ve &ouml;d&uuml;llendirme uygulamalar&inodot;,
 
 
 🔄Yap&inodot; Kredi ve Ko&ccedil; Grubu i&ccedil;inde kariyer, geli&scedil;im ve rotasyon f&inodot;rsatlar&inodot;,
 
 
 ⚕️&Ouml;zel sa&gbreve;l&inodot;k ve hayat sigortas&inodot;,
 
 
 🍝TokenFlex dijital yemek kart&inodot;,
 
 
 ✨Sosyal destek &ouml;demeleri,
 
 
 🐾Yap&inodot; Kredi G&ouml;n&uuml;ll&uuml;leri ile d&acirc;hil olabilece&gbreve;in sosyal sorumluluk projeleri,
 
 
 🏀16 farkl&inodot; spor dal&inodot;nda faaliyet g&ouml;steren Yap&inodot; Kredi Spor Kul&uuml;b&uuml;,
 
 
 🎭Yap&inodot; Kredililerin sosyal kul&uuml;b&uuml; BizClub ile bir&ccedil;ok k&uuml;lt&uuml;r-sanat etkinli&gbreve;ine indirimli bilet alma f&inodot;rsat&inodot;,
 
 
 🎁&Ouml;zel g&uuml;nler i&ccedil;in hediye kitleri,
 
 
 🎂Do&gbreve;um g&uuml;n&uuml; izni,
 
 
 🐏Ko&ccedil; Ailem, Ko&ccedil; Akademi, Ko&ccedil; Healthcare e&scedil;li&gbreve;inde Ko&ccedil;lu olman&inodot;n ayr&inodot;cal&inodot;kl&inodot; d&uuml;nyas&inodot;,
 
 
 &hellip;ve &ccedil;ok daha fazlas&inodot;!
 
 
 
 
 
 E&gbreve;er sen de bu d&uuml;nyan&inodot;n bir par&ccedil;as&inodot; olmak istiyorsan, hemen ba&scedil;vurunu yap ve Yap&inodot; Kredili olma yolunda ilk ad&inodot;m&inodot;n&inodot; at!
 
 
 Gelece&gbreve;e y&ouml;n vermek
 
 #Yap&inodot;m&inodot;zdaVar
 
 .
 
 
 
 
 
 
 * Yap&inodot; Kredi&rsquo;de i&scedil;e al&inodot;m s&uuml;recimiz t&uuml;m pozisyonlar i&ccedil;in &Idot;K g&ouml;r&uuml;&scedil;mesi, y&ouml;netici g&ouml;r&uuml;&scedil;meleri ve yetkinlik de&gbreve;erlendirme envanterleri i&ccedil;erir. B&uuml;t&uuml;n a&scedil;amalar&inodot; ba&scedil;ar&inodot;yla tamamlaman durumunda teklif a&scedil;amas&inodot;na ge&ccedil;ilir.
 
 
 
 
 
 
 
 &ldquo;6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiyehttps://kariyerim.yapikredi.com.tr/Account/StaticKvkk adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz."
 
 
 
 
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Uzman Veri Mühendisi

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