Data Engineer - ETL

Key Responsibilities :

- Data Pipeline Development : Design, construct, and maintain scalable data pipelines and robust data architecture.

- ETL Management : Implement, manage, and optimize Extract, Transform, and Load (ETL) processes to ensure efficient data flow.

- Data Warehousing : Manage and support data warehousing solutions, ensuring data accuracy and reliability.

- Data Analytics Support : Facilitate data analytics by providing reliable and structured data.

- Cross-functional Collaboration : Work closely with cross-functional teams on complex data modeling and integration projects.

Qualifications :

- ETL Proficiency : Extensive experience with Extract, Transform, Load (ETL) processes.

- Data Platforms : Proficiency with Snowflake and AWS Glue.

- Warehousing & Analytics : Experience in Data Warehousing and Data Analytics.

- Problem-Solving : Strong problem-solving and analytical skills.

- Education : Bachelor's degree in Computer Science, Information Technology, or a related field.

- Work Style : Ability to work independently and remotely.

- Consulting Experience (Plus) : Experience in a consulting environment is a plus.