Data Engineer
Description For Data Engineer
Landbase is revolutionizing GTM automation through AI-powered lead generation, leveraging their GTM-1 Omni platform and the expertise of over 100 sales professionals. As a Data Engineer at Landbase, you'll be at the forefront of building scalable data pipelines that power AI models and analytics. The role demands expertise in ETL pipeline design using PySpark/Scala Spark, advanced SQL skills, and experience with various databases including MongoDB, Elasticsearch, and PostgreSQL. You'll work with TB-scale data, optimize performance, and collaborate closely with ML Engineers on production model deployment. The position offers comprehensive benefits, flexible work arrangements, and the opportunity to work with cutting-edge AI technology in a collaborative environment. This is an excellent opportunity for experienced data engineers who want to make a significant impact in the AI-driven sales automation space while working with a team of innovative professionals.
Responsibilities For Data Engineer
- Optimize database performance and storage strategies
- Create and maintain data quality monitoring systems
- Collaborate with ML Engineers on production model deployment
- Stay current with emerging AI tools and technologies
Requirements For Data Engineer
- Design and implement ETL pipelines in PySpark and/or Scala Spark
- Orchestrate complex data workflows in Airflow
- Advanced SQL skills and experience with BigQuery
- Hands-on experience with MongoDB, Elasticsearch, and PostgreSQL
- Proficiency with GCP Dataproc and cluster optimization
- Experience handling TB-scale unstructured data
- 3+ years of experience in large scale data engineering
Benefits For Data Engineer
- Competitive compensation
- Comprehensive health benefits
- Flexible work arrangements
- Professional development opportunities
- Exciting work with cutting-edge AI technology
- Collaborative and innovative work environment
- Regular team events and gatherings
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