Senior Data and Infrastructure Engineer

We are looking for a Senior Data and infrastructure Enginee to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.

If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.

Responsibilties:

• Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business.
• Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.
• Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing.
• Support analytical and machine learning workflows by providing reliable and well-structured datasets.
• Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others).
• Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.
• Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions.
• Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem.
• Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.

Requirements

• 4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field.
• Good hands on experience in one of the major clouds . AWS preferred,
• Expert Hands on experience required on linux tools
• Should be able to deploy applications using docker on bare metal servers.
• Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.
• Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization.
• Experience designing and maintaining data warehouse architectures.
• Hands-on experience with columnar databases and performance optimization techniques.
• Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.
• Solid programming skills in Python or Java, with a preference for Python.
• Good understanding of Linux environments and scripting (Bash).
• Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.
• Have experience working  s3 compatible open source solution and managed solutions.
• Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.
• Strong communication skills in English.