Data Engineer
12 часов назад
TBC Bank Uzbekistan, the first digital bank in Uzbekistan and a part of TBC Bank Group PLC, commenced its operations in 2020. Today, the bank is rapidly developing, offering retail banking solutions through its innovative fintech platform. Over 4 million registered users have access to banking services via its mobile application. "Making People's Life Easier" - the core principle of TBC Bank's operations. By advancing digital technologies across all spheres of life, TBC Bank is dedicated to building a bank free from queues, physical offices, bureaucracy, complex terminologies, and lengthy waits.
We are looking for talented individuals with Data Engineer experience to join our team
Responsibilities:
- Design and construct highly scalable data pipelines to collect, integrate, and prepare large, complex datasets for training NLP and LLM models. Ensure data quality and accessibility.
- Build and maintain the necessary infrastructure to support data extraction, transformation, and loading processes (ETL) across multiple sources and environments.
- Monitor, troubleshoot, and optimize data processes and systems for maximum efficiency and minimal latency. Ensure that data flows smoothly to AI models without bottlenecks.
- Work closely with Data Science, Data Analysis and ML Engineers to understand their data requirements for ongoing projects. Provide expert advice on data handling and extraction to support model accuracy and performance.
- Implement automation tools to enhance the processes of data verification, cleanup, and preprocessing. Develop automated reporting and alerting systems to keep stakeholders informed about data integrity and pipeline health.
- Stay updated with the latest industry trends and technologies in data engineering and AI. Evaluate and recommend new tools and technologies to improve pipeline capabilities and system performance.
- Ensure that all data handling practices comply with regulatory requirements and company data governance policies. Implement security measures to protect data integrity and privacy.
Qualifications:
- Proven experience (3+ years) as a Data Engineer, ideally within a tech-focused, innovation-driven environment.
- Strong experience with SQL and NoSQL databases, data pipeline and workflow management tools, and cloud services (AWS, Azure, or Google Cloud).
- Proficient in programming languages used in data engineering such as Python, Java, or Scala.
- Experience with big data tools (Spark, Hadoop, Kafka) and data orchestration tools (Airflow, NiFi).
- Familiarity with machine learning concepts and workflows, especially related to NLP and LLMs, is highly beneficial.
- Strong communication skills to effectively collaborate with cross-functional teams and explain complex technical details in an accessible manner.
What We Offer:
- Full support and career-development resources to maximize your potential along our career journey
- Market competitive total compensation package
- 100% company-paid for every employee's medical insurance
- Benefits and incentives to stay healthy and fit
- English language classes
- Possibility to be involved in an international project
- Hybrid working model, ensuring a good work-life balance
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