Description

You will design and build large-scale, enterprise data solutions.

This role is on-site.

Responsibilities

• Lead the design and evolution of the enterprise data platform, ensuring scalability and security.
• Architect, build, and optimize complex ETL/ELT data pipelines using modern big data technologies on cloud platforms.
• Develop reusable data processing frameworks and components, writing clean, maintainable code in Python and SQL.
• Partner with data scientists and business stakeholders to translate requirements into scalable technical solutions.
• Drive automation across data quality, governance, and platform operations.

Required Skills

• 8+ years of progressive experience in data engineering or software engineering.
• Expert-level proficiency in SQL and Python.
• Extensive hands-on experience with AWS, Azure, or GCP data services.
• Deep expertise with Apache Spark.
• Proven experience building large-scale data warehouses and data lakes.
• Demonstrated ability to design and implement data architecture and modeling.
• Experience designing and building complex data pipelines.

Preferred Skills

• Experience with modern data stack technologies and orchestration tools.
• Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation).

Key Skills

Education

Any Graduate