Role | Junior Snowflake platform Engineer |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
About the UNIT/ Unit Overview | Data Platforms |
Location | Chennai |
Experience: | 3-5 |
Number of openings
| 1 |
Short Description | - This role focuses on Snowflake platform setup integrations automation and operational excellence
- You will work closely with senior platform engineers data architects and application teams to improve Snowflake usability enable new integrations and ensure the platform is secure scalable and reliable.
|
What awaits you/ Job Profile
| - Develop Snowflake-native integrations using Snowpipe external stages connectors Python-based services and cloud-native services.
- Build automation scripts and utilities in Python to support platform activities (user provisioning cost optimization monitoring metadata management).
- Support ingestion frameworks using Snowpipe Streams & Tasks and help optimize Snowflake compute and storage usage.
- Enable and manage AWSSnowflake integrations (S3 stages IAM roles SNS/SQS triggers Lambda & Kafka-based ingestion).
- Improve platform observability through logging dashboards and alerts for performance cost and pipeline reliability.
- Contribute to data modelling and SQL optimization as part of Snowflake configuration and product integrations.
- Collaborate with internal teams to onboard new applications APIs or batch systems onto Snowflake.
- Maintain strong documentation around platform standards integration patterns and operational runbooks.
|
What should you bring along
| Must Have: - Handson experience with Snowflake platform components: warehouses RBAC stages Snowpipe Streams & Tasks.
- Ability to implement integrations optimize performance and manage cost/usage within Snowflake.
- Strong experience using Python for automation Snowflake operations API/connector-based integrations.
- Knowledge of writing production-ready scripts with testing logging and error handling.
- Experience building and tuning PySpark jobs for ingestion or integration workflows.
- Familiar with Spark DataFrame APIs partitions and running Spark workloads on AWS environments.
- Handson with AWS services like S3 IAM Lambda Glue/EMR & Kafka for Snowflake integrations.
- Understanding of cloud security access controls and setting up SnowflakeAWS connectivity.
- Strong SQL expertise for analytical queries transformations and performance tuning.
- Ability to design efficient SQL logic optimized for Snowflakes architecture.
Nice to Have: - Hand on experience in the Terraform GIT GIT Actions. CICD pipeline.
|
Must have technical skill | Snowflake Python Pyspark AWS SQL |
Good to have Technical skills | Terraform GIT GIT Actions. CICD pipeline Iceberg AI Data Engineering |
|
|
|
Required Experience:
Senior IC
RoleJunior Snowflake platform EngineerVisit our websiteto know more.Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates.About the UNIT/ Unit OverviewData PlatformsLocationChennaiExperience:3-5Number of openings1Short DescriptionThis role focuses on Snowflake platform setup integrations...
Role | Junior Snowflake platform Engineer |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
About the UNIT/ Unit Overview | Data Platforms |
Location | Chennai |
Experience: | 3-5 |
Number of openings
| 1 |
Short Description | - This role focuses on Snowflake platform setup integrations automation and operational excellence
- You will work closely with senior platform engineers data architects and application teams to improve Snowflake usability enable new integrations and ensure the platform is secure scalable and reliable.
|
What awaits you/ Job Profile
| - Develop Snowflake-native integrations using Snowpipe external stages connectors Python-based services and cloud-native services.
- Build automation scripts and utilities in Python to support platform activities (user provisioning cost optimization monitoring metadata management).
- Support ingestion frameworks using Snowpipe Streams & Tasks and help optimize Snowflake compute and storage usage.
- Enable and manage AWSSnowflake integrations (S3 stages IAM roles SNS/SQS triggers Lambda & Kafka-based ingestion).
- Improve platform observability through logging dashboards and alerts for performance cost and pipeline reliability.
- Contribute to data modelling and SQL optimization as part of Snowflake configuration and product integrations.
- Collaborate with internal teams to onboard new applications APIs or batch systems onto Snowflake.
- Maintain strong documentation around platform standards integration patterns and operational runbooks.
|
What should you bring along
| Must Have: - Handson experience with Snowflake platform components: warehouses RBAC stages Snowpipe Streams & Tasks.
- Ability to implement integrations optimize performance and manage cost/usage within Snowflake.
- Strong experience using Python for automation Snowflake operations API/connector-based integrations.
- Knowledge of writing production-ready scripts with testing logging and error handling.
- Experience building and tuning PySpark jobs for ingestion or integration workflows.
- Familiar with Spark DataFrame APIs partitions and running Spark workloads on AWS environments.
- Handson with AWS services like S3 IAM Lambda Glue/EMR & Kafka for Snowflake integrations.
- Understanding of cloud security access controls and setting up SnowflakeAWS connectivity.
- Strong SQL expertise for analytical queries transformations and performance tuning.
- Ability to design efficient SQL logic optimized for Snowflakes architecture.
Nice to Have: - Hand on experience in the Terraform GIT GIT Actions. CICD pipeline.
|
Must have technical skill | Snowflake Python Pyspark AWS SQL |
Good to have Technical skills | Terraform GIT GIT Actions. CICD pipeline Iceberg AI Data Engineering |
|
|
|
Required Experience:
Senior IC
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Posted on:
Yesterday
Vacancies:
1 Vacancy
