Description

You will build and maintain data pipeline architectures and infrastructure for large-scale data extraction, transformation, and loading.

This role is on-site.

Responsibilities

• Design and implement data pipeline architectures to assemble complex datasets meeting business requirements.
• Build ETL infrastructure using Scala and AWS technologies to ingest data from diverse sources.
• Automate manual processes and redesign infrastructure to improve scalability and data delivery.
• Develop analytics tools that provide insights into operational efficiency and business performance metrics.
• Collaborate with Product, Data, and Design teams to resolve technical issues and support infrastructure needs.

Required Skills

• 5+ years of professional experience.
• Strong technical experience with AWS cloud services including S3, IAM, EC2, EMR, and RDS.
• Proficiency in Python.
• Experience with Scala for data engineering tasks.
• Hands-on experience with GitHub and Jenkins for CI/CD pipelines.
• Experience with DevOps engineering practices.

Preferred Skills

• 1 year of experience with relational SQL and various database systems.

Key Skills

Education

Any Graduate