Data Engineer - What you do:
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Design, implement and deploy new data models and data processes
Experience in data processing using traditional and distributed systems such as Hadoop, Spark, Dataproc, Airflow, etc...
Experience designing data models and data warehouses and using SQL and NoSQL database management systems.
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Defines company data assets and data models, spark, sparkSQL, and hiveSQL jobs to populate data models.
Designs data integrations and data quality framework.
Data Engineer - What you bring:
BS in Computer Science or a related technical field
4+ years experience with Python or Java
4+ years experience with Spark (Databricks)
4+ years experience with SQL and NoSQL
4+ years of experience with schema design and dimensional data modeling
2+ years experience in AWS or GCP
2+ years experience with Looker or Tableau
Ability in managing and communicating data warehouse plans to team members
Experience designing, building, and maintaining data processing systems
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