Data Engineer 2

Requirements:

• 4+ years of experience in backend engineering, building scalable, reliable, and high-performance systems in production environments.
• Strong proficiency in at least one high-level programming language (Python, Java, or similar) with solid grounding in data structures, algorithms, and problem-solving o Strong working knowledge of SQL, including query optimisation, performance tuning, and working with large-scale datasets.
• Hands-on experience with relational and/or analytical databases (e. g., Snowflake, Redshift, PostgreSQL, MySQL, etc. ), including data modelling and schema design.
• Good understanding of distributed systems fundamentals, including scalability, fault tolerance, and system design.
• Familiarity with cloud platforms (AWS/GCP/Azure) and modern data infrastructure concepts.
• Exposure to data-intensive applications, such as high-throughput APIs, event-driven systems, or analytics platforms.
• Interest in or experience with modern data platforms (e. g., Snowflake) and willingness to quickly learn data engineering tooling and paradigms.
• Basic understanding of security, networking, and production system operations (monitoring, observability, reliability).
• Exposure to or strong interest in GenAI/LLM capabilities (e. g., embeddings, vector search, prompt engineering, or LLM-powered applications) is highly desirable.
• Experience with streaming or real-time systems (Kafka, Kinesis, etc. ) is a plus.
• Experience with data pipeline technologies (Spark, Airflow, etc. ) is a plus.
• Data visualisation skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc).
• Bachelor's Degree in Computer Science (or equivalent).
• Strong verbal and written communication skills.