Data Engineer

Payme, a leading company in Uzbekistan's fintech industry, attracts over 11,6 million users with its convenient and efficient payment solutions. Since its establishment in 2012 and the launch of its main product – a mobile application in 2016, Payme continues to streamline financial transactions for its clients. In April 2019, TBC acquired a 51% stake in Payme for $5.5 million, valuing the company at $10.8 million. In May 2023, TBC Group Uzbekistan purchased the remaining 49% of Payme's shares, valued at $113.6 million, affirming its leadership in the region's fintech industry.

We are looking for a Data Engineer to join our team and help design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have experience working with a range of modern data engineering technologies, including cloud platforms, distributed processing frameworks, and database systems.

Primary Focus:

• Design, develop, and maintain ETL/ELT pipelines using Apache Spark, Apache Flink, and dbt.
• Work with relational databases and sql-engines.
• Implement data lake and warehouse solutions with open table and open file formats.
• Manage cloud-based infrastructures, ensuring high availability and performance.
• Orchestrate data pipelines.
• Deploy and manage containerized applications.
• Work with NoSQL databases.
• Optimize data storage, retrieval, and transformation performance across various platforms.

Qualifications:

• 2+ years of experience in data engineering or a related field.
• Strong experience with SQL and Python for data processing.
• Hands-on experience with Apache Spark, Flink and Kafka for real-time and batch data processing.
• Experience working with cloud environments (AWS, Azure) and object storage solutions (MinIO).
• Understanding of RDBMS and SQL Engines like PostgreSQL, MS SQL, ClickHouse, and Trino.
• Experience with Docker.
• Knowledge of Apache Airflow.
• Familiarity with Delta Lake and Apache Iceberg for data lake implementations.

Languages: 

• English - B2
• Russian - B2

Nice to Have:

• Experience with Elasticsearch for search and analytics.
• Exposure to dbt for analytics engineering.
• Experience working with Scala in data engineering projects.

Working with us means:

• An open atmosphere and vibrant team life without unnecessary bureaucracy or dress code;
• Medical insurance with extended coverage after the probation period;
• Coverage for conference participation, discounts for English language courses, and access to educational platforms (Coursera, Udemy);
• Internal meetups: lightning & thunder talks;
• High-performance equipment and additional monitors for productive work;
• Class “A” office in the city center
• A multicultural team (Georgia, Russia, Poland, Kazakhstan, Kyrgyzstan, Ukraine, Tajikistan);
• Referral program 'Bring a Friend' with bonus opportunities;
• Coffee points for snacks at any time;
• Team-building and sports events that foster team spirit.