Description

You will design and implement scalable data pipelines for structured and unstructured datasets across marketing, customer success, and data science teams.

This role is on-site.

Responsibilities

• Build and optimize internal data pipelines to support cross-functional teams.
• Design scalable solutions by analyzing and profiling complex datasets.
• Develop continuous integration, test-driven development, and production deployment frameworks.
• Review design, code, test plans, and dataset implementations performed by peers.
• Contribute to product strategy by applying knowledge of emerging data technologies.

Required Skills

• 10+ years of experience in data engineering or related professional roles.
• Strong expertise in SQL, data modelling, and data warehousing.
• Hands-on experience with Azure cloud big data platforms.
• Proficiency with cloud technologies including AWS and Azure.
• Strong understanding of data structures and algorithms.
• Experience with scripting languages including Python and Shell.
• Proficiency with source control tools like GitHub.
• Experience with workflow scheduling tools and end-to-end solution design.
• Experience working within Agile/Scrum methodologies across distributed teams.

Preferred Skills

• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Key Skills

Education

Any Graduate