Posted on: 29/05/2026
Description :
- Develop and optimize Snowflake schemas, tables, views, stored procedures, and tasks.
- Implement data ingestion solutions using Snowpipe, Streams, Tasks, and cloud storage integrations.
- Optimize query performance, warehouse sizing, clustering, and cost efficiency.
- Develop data transformation models using dbt.
- Integrate Snowflake with cloud platforms such as Amazon Web Services, Microsoft, or Google.
- Ensure data governance, security, RBAC policies, and compliance standards are maintained.
- Collaborate with cross-functional teams to support analytics, reporting, and AI/ML initiatives.
- Monitor data pipelines, troubleshoot failures, and implement automation for operational efficiency.
- Create technical documentation, data dictionaries, and best practices for data management.
Required Skills & Qualifications :
- 3- 8 years of experience in Data Engineering or Cloud Data Warehousing.
- Strong hands-on experience with Snowflake.
- Expertise in SQL, query optimization, and performance tuning.
- Experience with ETL/ELT tools and orchestration platforms such as Apache Airflow, Informatica, or Matillion.
- Proficiency in Python or Scala for data processing and automation.
- Experience with dbt and CI/CD practices.
- Strong understanding of cloud services (AWS/Azure/GCP).
- Familiarity with data modeling, data lakes, and data warehouse concepts.
- Knowledge of version control tools like Git and DevOps practices
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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1640258