Senior Data Engineer at Laivly, designing and optimizing data systems for reporting and analytics. Collaborating with data science teams to drive data-driven decision making.
Responsibilities
Build cloud-based data ingestion pipelines from multiple sources
Develop scalable ETL processes and data integration workflows
Create APIs and endpoints that integrate data across internal and external systems
Structure and optimize datasets to support reporting, analytics, and development lifecycle
Document data models, sources, and ingestion techniques
Ensure system design facilitates good data hygiene, reliability, and observability across all systems and pipelines
Mentor and develop peers and team members
Experiment with new tools, technologies, and approaches to improve the data ecosystem
Requirements
8-10+ years of experience working with data in SQL environments
A degree in Computer Science, Mathematics, Statistics, or a related field
Strong experience with SQL, ETL development, and data integration
Experience with relational and non-relational databases
Experience working within a data lake warehouse environment
Python proficiency (Spark/Flink experience is a plus)
Experience with C# development (JavaScript experience is a bonus)
Experience working with cloud-based systems and distributed data platforms
Familiarity with Agile methodologies, CI/CD pipelines, and process automation
Experience with Trino, Iceberg, Kafka, Airflow, Polaris (considered a bonus)
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