Description

You will design and maintain scalable data pipelines and platform solutions to ensure efficient data movement across systems.

This role is on-site.

Responsibilities

• Build and optimize ELT/ETL processes for data movement, focusing on Snowflake.
• Support data lake architecture by managing ingestion, processing, and storage workflows.
• Implement and maintain CI/CD pipelines for data engineering using Jenkins and Ansible.
• Optimize SQL queries and tune performance for complex data processing tasks.
• Collaborate with cross-functional teams to improve system efficiency and data accessibility.

Required Skills

• 10+ years of overall technology experience, including 6+ years in data warehousing and data marts.
• 4+ years developing ELT/ETL pipelines with Snowflake and SnowSQL.
• 4+ years working with AWS services: EC2, IAM, S3, EKS, KMS, SNS/SQS, CloudWatch, and CloudFormation.
• Strong proficiency in SQL, including query optimization and performance tuning.
• Experience with object-oriented programming in Python or Java.
• Hands-on experience with Docker and Kubernetes for containerization.
• Familiarity with DevOps practices and CI/CD tools such as Maven, Jenkins, and Git-based workflows.
• Experience with job scheduling tools like Control-M.

Preferred Skills

• Advanced expertise in SQL performance optimization and modern data lake architectures.
• Proven ability to contribute to process improvements and team efficiency.

Key Skills

Education

Bachelor's or Master's degrees