Description

You will build and maintain the core data platform infrastructure.

Responsibilities

• Build scalable Data Engineering pipelines using Python, SQL, and DBT Core.
• Implement and manage data workflows using MWAA (Airflow) or equivalent orchestration tools.
• Develop backend applications, including APIs and services, supporting data ingestion and processing.
• Manage data infrastructure within cloud ecosystems (AWS, Azure, GCP) utilizing modern data tools like Snowflake and Databricks.
• Own infrastructure as code (IaC) implementation using Terraform and manage containerization with Docker and Kubernetes.

Required Skills

• 3-5 years of experience in Data platform engineering.
• Proficiency in Python, SQL, and DBT.
• Experience with CI/CD practices and IaC using Terraform.
• Hands-on experience with Docker and Kubernetes.
• Experience with cloud data ecosystems (AWS, Azure, or GCP).
• Experience with data orchestration tools like MWAA (Airflow).
• Familiarity with PL/SQL (6-8 years required for competency).
• Ability to build backend services and APIs.

Preferred Skills

• Knowledge of Agile tools such as Jira.

Key Skills

Education

Any Graduate