We’re looking for an experienced and motivated Senior Data Engineer to join our R&D team and lead the design and implementation of robust, scalable data architectures across our platforms.

In this role, you'll collaborate with architects, developers, analysts, and data scientists to build high-performance data pipelines, optimize data storage and retrieval, and ensure the overall reliability and quality of our data infrastructure. You’ll play a critical part in shaping the data foundations that power our products.

Key Responsibilities:

• Design, implement, and optimize scalable data architectures.
• Build, test, and maintain robust ETL/ELT pipelines and large-scale processing systems.
• Improve data reliability, performance, and quality across platforms.
• Collaborate with data scientists and analysts to support data-driven features.
• Write and optimize complex SQL queries and tune performance of relational databases.
• Work within Agile/Scrum methodologies as part of a cross-functional R&D team.
• Manage both relational (PostgreSQL, MSSQL, MySQL) and non-relational databases (MongoDB, Cassandra).
• Leverage Azure services, including Azure Data Factory, for integration and transformation tasks.

Requirements:

• 5+ years of experience designing and implementing enterprise-level data architecture.
• Strong SQL skills including complex query building and performance tuning.
• 5+ years working with relational databases (PostgreSQL, MSSQL, MySQL).
• 2+ years working with Elasticsearch.
• 2+ years working with non-relational databases (e.g., MongoDB, Cassandra).
• Experience building and maintaining ETL/ELT processes.
• Proficiency in Azure cloud and Azure Data Factory.
• Strong collaboration and communication skills in English.
• Familiarity with Agile and Scrum practices.

Nice to Have:

• Experience with big data technologies (Hadoop, Spark, Kafka).
• Hands-on experience with Databricks or similar platforms.
• Familiarity with data warehousing concepts and architectures.
• Knowledge of data governance and security best practices.
• Relevant certifications in Azure or cloud data platforms.
• Degree in Computer Science or a related technical field.