What are the responsibilities and job description for the Snowflake Platform Engineer position at Baanyan Software Services, Inc.?
Job Description:
We are seeking a Snowflake Platform Engineer to join our dynamic team. The ideal candidate will have strong experience in AWS data lake services, Snowflake, and Python-based data engineering and a proven ability to design, build, and operate scalable cloud data platforms and migration pipelines.
Responsibilities:
- Design, build, and maintain cloud-native data pipelines and services on AWS and Snowflake.
- Implement data lake architectures using Lake Formation, Glue, Step Functions, and Lambda.
- Develop Python, Shell, and UNIX-based solutions for data ingestion, transformation, and orchestration.
- Create and manage infrastructure as code with Terraform for AWS and Snowflake resources.
- Optimize Snowflake performance and implement features including Snowflake Cortex and Streamlit apps.
- Enable data movement using AWS CLI, Python APIs, Spark, and Boto3 with secure governance.
- Support analytics services including Athena, S3 Select, EMR, and Redshift as needed.
- Implement CI/CD pipelines using Bitbucket/Git and Jenkins with approvals in ServiceNow.
- Monitor and troubleshoot using AWS CloudWatch and Splunk with effective logging and tracing.
- Schedule and orchestrate workloads with Control-M or similar tools.
Required Skills & Qualifications:
- 5–6 years of hands-on software development and data engineering experience.
- Proficiency in Python, Shell scripting, and UNIX.
- Strong experience with Snowflake, including performance tuning and data modeling.
- Snowflake Cortex and Streamlit experience.
- Hands-on with AWS data lake services: Lake Formation, Glue, Step Functions, and Lambda.
- Experience with Terraform for infrastructure as code in AWS and Snowflake ecosystems.
- Data movement expertise using AWS CLI, Python API, Spark, and Python Boto3.
- Familiarity with analytics and compute services: Athena, S3 Select, EMR, Redshift, S3, and EC2.
- Knowledge of scheduling tools, with Control-M preferred.
- CI/CD experience with Bitbucket/Git and Jenkins, and change management via ServiceNow.
- Monitoring and log tracing using AWS CloudWatch and Splunk.
Preferred Skills:
- Knowledge on AI agentic workflows, MCP servers, or AI/ML platforms such as Databricks.
- Prior work in Agile teams delivering cloud data solutions.