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LTM is seeking a data engineer to develop and optimise SQL queries and Snowflake scripts, while building scalable ETL pipelines for multi-source ingestion and transformation. You will monitor Snowflake workloads, ensure high performance, and collaborate with data architects to deliver robust solutions that meet business needs.
The role emphasizes data security, governance, and documentation, with opportunities to share knowledge across the team in a dynamic cloud environment.
Develop and optimise complex SQL queries, stored procedures, and scripts within Snowflake.
Design and implement scalable ETL processes for data ingestion, transformation, and integration from multiple sources.
Monitor and troubleshoot Snowflake workloads, ensuring high performance and reliability.
Collaborate with data architects and other teams to deliver robust data solutions aligned with business requirements.
Maintain data security, governance, and compliance standards as per organisational policies.
Document technical solutions and provide knowledge sharing across the team.
Bachelors degree in Computer Science, Information Technology, or related field.
Hands-on experience with Snowflake, including schema design, data loading, and performance tuning.
Proficiency in SQL and familiarity with scripting languages (Python, Java, etc.).
Understanding of cloud platforms (AWS, Azure, GCP) and integration with Snowflake.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Certification in Snowflake or relevant cloud technologies.
Experience with data visualisation tools and BI platforms.
Familiarity with DevOps practices and CI/CD pipelines.
This position offers an opportunity to work on cutting-edge cloud data projects, driving actionable insights and supporting strategic business decisions in a dynamic environment.