Base: $94,300.00 - $141,500.00; bonus/equity: not ...
Hybrid
Database design
Application data flows
Highly performant processing solutions
Design, implement, and deploy highly scalable data solutions, ensuring high performance, reliability, and security
Job Summary
Design, implement, and deploy highly scalable data solutions, ensuring high performance, reliability, and security.
Develop data flows that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.
Stay abreast of the latest advancements in data domain, actively participating in the development of proofs of concept (POCs) and exploring new methodologies.
Matching Summary
Design, implement, and deploy highly scalable data solutions, ensuring high performance, reliability, and security.
Salary
Base: $94,300.00 - $141,500.00; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Database design
Application data flows
Highly performant processing solutions
PySpark and Python development
ELT data pipelines
Spark cluster optimization
S3 bucket and/or NAS storage
Nice-to-have
IBM DataStage, Talend, Apache Airflow
Tableau BI tools
OpenShift, Docker, Kubernetes
AI/ML frameworks, LLMs
Key Requirements
5+ years of software engineering experience
Strong database development skills
Experience with software development best practices
Understanding of agile methodologies
Proven experience in system design
Bachelor’s degree/University degree or equivalent experience