AWS Data Engineer - Remote

Overview

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, 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.
• 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 Snowflake.
• Knowledge of data processing and transformation workflows.
• Familiarity with Apache Airflow.
• Ability to collaborate with cross-functional teams.

Benefits

• Opportunity to work with Fortune 500 companies.
• Work in a fast-growing analytics consulting firm.
• Be part of a global analytics consulting team.