Lantern is looking to improve its data solutions by building robust, scalable, and high-performance data pipelines.
Requirements
- 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
- 3+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
- Strong experience with Python, with ability to discuss design patterns
- Expert in Microsoft SQL Server (preferred) or other relational databases.
- Expertise with SQL, stored procedures, triggers, and performance tuning.
- Experience working with Big Data technologies: Spark, Databricks or other frameworks.
- Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
Responsibilities
- Design and implement robust, scalable, and high-performance data pipelines
- Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
- Collaborate with Data Architect, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
- Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
- Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
- Experience supporting production jobs and mitigate issues in a timely manner.
- Write unit, integration, and functional tests for new features.
Other
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Flexible Paid Time Off
- Paid Parental Leave
