8 hours ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines using Python, SQL, and Snowflake.
- Build and maintain batch, real-time, and event-driven data processing solutions on cloud platforms.
- Architect and manage Snowflake warehouses, schemas, RBAC, Tasks, Streams, and Snowpipe.
- Develop enterprise data warehouses, data marts, dimensional data models, and data solutions using Kimball and Data Vault concepts.
- Design and deploy AI/GenAI solutions based on modern data platforms and business requirements.
- Implement CI/CD, infrastructure as code using Terraform or Bicep, and DevSecOps practices.
- Ensure data quality, monitoring, lineage, and performance optimization, while mentoring junior engineers.
Requirements
- 4–6 years of experience in data engineering with strong Python and SQL expertise.
- Hands-on experience with Snowflake performance tuning, data modeling, and administration.
- Strong knowledge of Azure, AWS, or GCP and cloud-native data services.
- Experience building scalable ETL/ELT pipelines, CDC/SCD frameworks, and orchestration workflows.
- Understanding of data warehousing, dimensional modeling, Kimball, and Data Vault concepts.
- Experience with CI/CD pipelines, Git, Terraform or Bicep, and DevSecOps security practices.
- Exposure to AI/GenAI technologies, data quality frameworks, and automated testing tools.
- Strong communication, stakeholder management, collaboration, and mentoring skills.
Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee Assistance Program (EAP).