Description

You will design, build, and maintain scalable data pipelines and warehousing solutions to support analytics and business intelligence initiatives.

This role is hybrid.

Responsibilities

• Design and maintain data pipelines using Python and PySpark for efficient large dataset processing.
• Develop and optimize SQL queries for ETL processes.
• Implement and manage data warehousing solutions using Snowflake.
• Deploy and monitor data applications and pipelines on the OpenShift container orchestration platform.
• Automate data workflows, ensure data quality, and troubleshoot storage performance issues.

Required Skills

• 5+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Python with hands-on PySpark experience.
• Extensive experience with SQL and relational databases.
• Hands-on experience with the Snowflake data warehouse platform.
• Familiarity with container orchestration and cloud deployment using OpenShift.
• Knowledge of data modeling, ETL/ELT processes, and data architecture best practices.
• Experience with version control systems such as Git.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Preferred Skills

• Experience with other cloud platforms (AWS, Azure, GCP).
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with Kafka, Hadoop, or other big data technologies.

Key Skills

Education

Any Graduate