Description

You will build and maintain the core data platform infrastructure, including scalable pipelines, backend services, and cloud-based data ecosystems.

This role is hybrid.

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, to support data ingestion and processing.
• Own infrastructure as code implementation using Terraform and manage containerization with Docker and Kubernetes.
• Manage data infrastructure within AWS, Azure, or GCP ecosystems using tools like Snowflake and Databricks.

Required Skills

• 6+ years of experience in data platform engineering.
• Proficiency in Python and SQL.
• 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.
• Ability to build backend services and APIs.

Key Skills

Education

Any Graduate