Lead Data Engineer - AWS - Remote

Overview

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

In Short

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure.
• Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL.
• Build and maintain orchestration workflows using Apache Airflow.
• Lead the migration of legacy data systems to modern cloud-based architectures.
• Develop and maintain CI/CD pipelines for data workflows.
• Collaborate with data scientists, analysts, and business stakeholders.
• Optimize data pipelines for performance, reliability, and cost-effectiveness.

Requirements

• Strong experience with AWS services.
• Experience with Databricks and Apache Airflow.
• Proficient in SQL and data processing.
• Ability to work collaboratively in cross-functional teams.
• Experience with CI/CD practices.

Benefits

• Work with top-tier Fortune 500 clients.
• Opportunity for professional growth and development.
• Collaborative and innovative work environment.