Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices
Evaluate and prototype new tools and technologies, assessing their risks and benefits
Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL)
Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch)
Implement data transformations and integrations using Python and Java
Ensure reliability, performance, and maintainability of end-to-end data systems
Implement infrastructure-as-code using Terraform for managing cloud resources
Monitor and optimize system health and performance using CloudWatch and Splunk
Mentor junior engineers and code reviews
Clearly communicate technical topics to both technical and non-technical audiences
Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments

Bachelor's degree in Computer Science, Engineering, or a related technical field
7+ years of professional experience in data engineering or related domains
Strong hands-on experience with:
Databricks, dbt, SQL (PostgreSQL), Python, Java, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization
Proven leadership experience in technical teams
Strong analytical and problem-solving skills
Experience working in agile, iterative software development environments
Ability to quickly learn and apply new technologies and domain knowledge
Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences.

Senior Data Engineer

Key skills