AWS Data Engineer

Design and develop scalable data pipelines on AWS Cloud platform * Build and maintain ETL/ELT workflows using Databricks, Spark, and AWS services * Develop real-time and batch data processing solutions * Create and optimize Data Lake and Data Warehouse architectures * Work with Snowflake, Redshift, and S3-based data platforms * Implement data governance and metadata management using Unity Catalog * Develop and maintain CI/CD pipelines for data engineering workflows * Monitor and troubleshoot data pipelines using CloudWatch and EventBridge * Collaborate with cross-functional teams including Data Analysts, Architects, and Business stakeholders * Ensure data quality, performance optimization, and security best practices * Create detailed technical documentation and testing artifacts

Delta Lake * Apache Iceberg * Unity Catalog

Strong experience with Snowflake

Strong SQL and Python programming skills

Experience with CI/CD pipelines and Git

Familiarity with Infrastructure as Code tools such as Terraform

Strong understanding of Data Warehousing and Dimensional Modeling concepts

Experience with Apache Airflow and dbt

Experience building batch and real-time streaming pipelines

Strong testing, debugging, and documentation skills, Experience with healthcare, finance, or enterprise-scale data platforms