Description

You will design and develop scalable data integration solutions with a primary focus on Snowflake across multi-cloud environments.

Responsibilities

• Implement ETL/ELT pipelines optimized for Snowflake using AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
• Automate data workflows and infrastructure deployment using Terraform, Bicep, CloudFormation, or Deployment Manager.
• Develop real-time and batch processing architectures integrating Kafka, AWS Kinesis, Azure Event Hub, or Google Pub/Sub.
• Optimize Snowflake performance through query tuning, clustering, and cost optimization strategies.
• Monitor system reliability and data integrity using Snowflake Query Profiler, CloudWatch, Azure Monitor, or Datadog.

Required Skills

• 5+ years of experience in data engineering roles.
• Deep expertise in Snowflake, including data warehousing and query optimization.
• Proficiency in SQL, Python, and Scala.
• Hands-on experience with Apache Spark, Databricks, and Airflow.
• Strong experience with AWS, Azure, and Google Cloud architectures.
• Experience with CI/CD tools such as GitHub Actions, Azure DevOps, or AWS CodePipeline.
• Solid understanding of data modeling and ETL/ELT pipeline optimization.
• Knowledge of data security and compliance frameworks like GDPR, HIPAA, or SOC 2.
• Any Graduate degree.

Key Skills

Education

Any Graduate