Data Engineer Driving Cloud Migration and ETL Development

About

Elevate your career as a Data Engineer specializing in cloud migration and robust ETL pipeline development. Design innovative data solutions and ensure data integrity through advanced technologies and team collaboration.

In this key role, you'll employ your expertise in SQL, Python, and cloud platforms to effectively transition legacy data systems to the cloud. You'll be building and maintaining ETL/ELT processes for both structured and unstructured data. Collaborating closely with Data Architects, your work will support self‑service analytics and ensure quality throughout the transformation lifecycle.

Responsibilities

• Design data migration strategies to cloud environments
• Build and maintain robust ETL/ELT pipelines
• Optimize complex SQL queries and stored procedures
• Ensure data integrity and governance during transformations
• Collaborate with teams for effective data modeling

Requirements

• 2+ years of experience as a Data Engineer
• Proficient in SQL, Python, and cloud ETL frameworks
• Hands‑on experience with AWS, Azure, or GCP
• Familiarity with Snowflake, BigQuery, or Redshift
• Strong organizational and collaborative skills

Utilize your data engineering skills to transform and optimize data processes, making a lasting impact on analytics and decision‑making.

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