As a Software Engineer with a Data Analytics focus at Glydways, you will develop our data platform and facilitate data-driven decision-making throughout the organization.
In Short
Develop tooling and processes for autonomy software.
Monitor and optimize data pipeline performance.
Ensure data quality through testing and validation.
Collaborate on performance metrics.
Deliver insights through reports and dashboards.
Requirements
Degree in Computer Science, Analytics, Engineering or related field.
Experience with big data technologies (e.g., Spark, Hadoop, Hive, dbt).
Experience with workflow orchestration tools (e.g. Airflow, Argo Workflows).
Experience with multi-language build systems (e.g. Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).
Proficiency in Python and SQL.
Proficiency with version control systems (e.g. Git).
Proficiency with configuration languages (e.g. YAML, CUE).
(Bonus) Experience with cloud platforms (e.g., AWS, Azure, GCP).