Description

You will design, build, and maintain optimized ETL/ELT architectures and data pipelines for engineering and data science teams.

This role is remote.

Responsibilities

• Develop, test, and maintain ETL/ELT architectures and data set processes.
• Manage data acquisition and ingestion for streaming and data-at-rest.
• Align data architecture with business requirements to ensure reliability.
• Automate manual tasks and prepare data for predictive and prescriptive modeling.
• Containerize services using Docker and deploy them in cloud environments.

Required Skills

• 5+ years of professional experience in data engineering.
• Advanced SQL experience (4+ years).
• Professional Python development experience (3-4 years).
• Experience with cloud data warehouses: Snowflake, AWS Redshift, Azure SQL Data Warehouse, or Google BigQuery.
• Building data pipelines using Python, Spark, DBT, Matillion, or Azure Data Factory.
• Strong grasp of Software Engineering principles, including Object-Oriented Programming and SOLID.
• Experience with DevOps practices: Git, CI/CD, and Infrastructure as Code (IaC).

Preferred Skills

• Experience with containerization and cloud deployment strategies.

Key Skills

Education

Any Graduate