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/Master's degree in Computer Science, IT, or related field
- Robust 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

📌 Principal Data Engineer (Hyderabad)
🏢 Evoke Technologies
📍 Hyderabad