Description:

Design and maintain scalable batch data pipelines in AWS for analytics and ML use cases.
Develop and optimize SQL transformations and analytical datasets for BI and predictive workloads.
Build reliable ETL/ELT processes with monitoring and data quality checks.
Create feature-ready datasets and support feature engineering pipelines for ML initiatives.
Deliver production-grade data for elasticity modeling and advanced performance analytics.
Design data infrastructure for A/B testing and measurable experimentation.
Develop ingestion pipelines for marketing and campaign analytics.
Contribute to CI/CD-driven MLOps workflows for model deployment and monitoring in AWS.
Collaborate on data governance, cost optimization, and scalable architecture decisions.
Enable integration of AI and LLM-powered capabilities through robust data services.

Requirements:

Proven experience designing and maintaining scalable data pipelines in AWS.
Strong SQL skills and experience building analytical datasets for BI and ML.
Hands-on experience with ETL/ELT processes and data quality best practices.
Understanding of ML data preparation and feature engineering workflows.
Experience supporting production systems with reliability and performance in mind.
Solid knowledge of cloud-based data architecture and cost optimization principles.
Ability to collaborate effectively across teams and translate business needs into technical solutions.

Flexible working environment with options for remote and hybrid work.
Competitive compensation, performance-based bonuses, and stock options.
Professional growth opportunities through courses, conferences, and learning resources.
Comprehensive health benefits, wellness programs, and quarterly Mental Health Days.
Family-friendly culture with flexibility for parents and company-wide family events.
Support for charitable initiatives through the airSlate Care program.

Skills

Benefits