Description

You will design and implement scalable data solutions across hybrid cloud and on-premises environments.

This role is on-site.

Responsibilities

• Develop and maintain data models, ETL/ELT pipelines, and data integration processes.
• Migrate legacy Oracle databases to modern cloud platforms, handling consolidation and de-duplication.
• Apply engineering best practices for data security, risk management, and regulatory compliance.
• Collaborate with software engineering, analytics, and business teams to align data solutions.
• Troubleshoot complex data issues related to quality, modeling, and ownership.

Required Skills

• 3+ years of applied experience in data engineering leading large-scale data transformation projects.
• Proficiency in Python.
• Hands-on experience with Snowflake and Databricks.
• Expertise in Apache Airflow and ETL/ELT processes.
• Experience with AWS, Azure, and GCP.
• Solid understanding of Data Modeling and Big Data concepts.
• Experience in hybrid cloud and on-premises environments.

Key Skills

Education

Any Graduate