Data Engineer

Key Responsibilities:

• Build and manage data pipelines and warehouse curation on Snowflake using DBT
• Manage infrastructure-as-code using Terraform for reproducible, version-controlled data environments
• Develop and optimize Python-based ETL/ELT processes for batch and incremental data loads
• Work with AWS services (Glue, EMR, Lambda, S3, Step Functions, CloudFormation) to build scalable data infrastructure
• Apply data engineering fundamentals data partitioning, schema evolution, CDC (change data capture), orchestration, and pipeline performance tuning
• Implement data quality, lineage, and metadata management practices
• (Architect level) Own architecture decisions, drive best practices, mentor team members

Qualifications:

• Bachelor's/masters degree in computer science, IT, or related field
• Strong SQL and RDBMS performance tuning experience
• Hands-on experience with Terraform and AWS-based data engineering — Glue, EMR, Lambda, S3, Step Functions, CloudFormation
• Solid grasp of data engineering concepts: ETL/ELT design, data modeling, orchestration (Airflow), CDC, data partitioning, and pipeline optimization
• Experience with CI/CD and source control practices