Description

You will design and maintain data pipelines and ETL workflows across Snowflake, Oracle, and multicloud environments.

This role is on-site.

Responsibilities

• Design and implement complex ETL processes and data pipelines within Snowflake and Oracle.
• Administer and configure Snowflake data warehousing environments in a multicloud setup.
• Monitor system health and performance using built-in and third-party tools.
• Implement security best practices, including role-based access control, encryption, and auditing.
• Automate routine tasks using Snowflake scripting and external scheduling tools.

Required Skills

• 5+ years of professional experience in data engineering.
• Strong expertise in Snowflake administration and data warehousing.
• Proficiency in Databricks, Spark, and PySpark.
• Experience with Python 3.6 and Big Data technologies.
• Hands-on knowledge of GCP, Google BigQuery (GBQ), and AWS Cloud (S3).
• Experience with Kafka, CI/CD pipelines, and Kubernetes.
• Ability to optimize SQL and work with Informatica Power Center.
• Familiarity with Airflow and Azure cloud services.

Key Skills

Education

Any Gradute