Software Engineer 'Big Data & Analytics Application Development'

Yapı Kredi Teknoloji; İzmit; Hybrid; TRY 100,000 - 140,000; Full time

Job summary

A technology firm in Turkey seeks a Data Scientist to explore Big Data technologies and build predictive models. The ideal candidate will have a Bachelor's degree in engineering or a related field, over 5 years of experience with data manipulation using Python, Spark, or Flink, and a passion for continuous learning. This position offers a hybrid work model and numerous career development opportunities.

Benefits

Opportunity to work in hybrid model

Career development opportunities

Company-contributed individual retirement insurance

Birthday off day

Qualifications

• 5+ years' experience using Python, Spark or Flink to manipulate data.
• 3+ years' experience with performing hands-on Data Science and Machine Learning.
• Knowledge of machine learning techniques such as clustering and neural networks.
• Experience in data preparation and data warehousing concepts.

Responsibilities

• Explore Big Data technologies for transformation objectives.
• Build advanced statistical models and algorithms.
• Translate data algorithms into actionable insights.
• Process, clean, and verify the integrity of data.

Skills

Python

Spark

Flink

Data Science

Machine Learning

Advanced Statistical Techniques

Oracle SQL

NoSQL Databases

Creativity

English Proficiency

Education

Bachelor's degree in engineering, computer science, mathematics or a related field

Tools

Hadoop

Hive

HBase

Docker

Kubernetes

Job description

About:

Yapı Kredi Technology is a technology company that produces innovative, high quality, and high value-added products and solutions in the finance sector. With more than 2,000 employees, it aims to create products that will shape the sector for Yapı Kredi Bank and to be the undisputed leader in the field of technology by using modern architectural systems and cloud technologies. It also contributes to the development of new and exemplary products for the sector by using natural language processing, machine learning, artificial intelligence, and data mining technologies with its R&D team.

Who We Are:

At Yapı Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.

What Do We Offer:

• 📌 Opportunity to work in hybrid model
• 💻 Opportunity to work in Koç Group Community Companies' offices
• 🌴 Chance to discover the natural wonders and amenities offered at Koç Toplululuğu Spor Kulübü (KTSK)
• 🚀 Career development opportunities in a structured technology career path
• 💫 Opportunity to benefit from BizClub and KoçAilem privileges exclusive to Yapı Kredi Technology employees
• 🤝 Company-contributed individual retirement insurance
• 🎂 Birthday off day

Qualifications:

• Bachelor's degree in engineering, computer science, mathematics or a related field,
• 5+ years' experience using Python, Spark or Flink to manipulate data and draw insights from large data sets. Visualization skills is a plus,
• 3+ years' experience with performing hands on Data Science and Machine Learning,
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, Naive Bayes, SVM etc.) and their real-world advantages/drawbacks,
• Knowledge of advanced statistical techniques and concepts (regression, statistical tests and proper usage, etc.),
• Experience in Hadoop, Hive, HBase and BigData ecosystem,
• Experience in data preparation, data mining and data warehousing concepts,
• Strong Knowledge of Oracle SQL,
• Experience of NoSQL Databases,
• Experience in Java or any object oriented programming language is a plus ,
• Experience in Docker, Kubernetes is a plus,
• Passion for quality, performance and reliability,
• Knowledge of Data Lakehouse is a plus,
• Creative & innovative,
• Keen on learning,
• Willing to apply expertise and technology,
• Willing to present & communicate information,
• Proficiency in English.

Job Description:

• Explore and work on Big Data technologies to sustain our continued transformation objectives,
• Build advanced statistical models, algorithms and trend analysis in order to discover predictive insights related to business objectives,
• Translate data algorithms and complex ideas into actionable management insights and solutions,
• Translate business objectives into business intelligence through regressive data analytics,
• Process, clean, and verify the integrity of data used for analysis,
• Research and develop approaches on how to improve business processes and customer's experience by using our vast amounts of data.

Candidate Selection Process:

Our recruitment process for all positions typically encompasses technical interviews, director assessments, competency evaluations, and personality tests. We will extend our offer to candidates who have successfully completed a positive evaluation process.

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