Data Engineer - AWS

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Tiger Analytics

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Machine Learning • Predictive Analytics • Forecasting • Natural Language Processing • Computer Vision

1001 - 5000

Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. • Responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. • Collaborate with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. • Strong experience with AWS services, Databricks, and Snowflake.

Requirements

• 8+ years of experience building and deploying large-scale data processing pipelines in a production environment. • Hands-on experience in designing and building data pipelines • Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. • Strong experience with Databricks, Pyspark for data processing and analytics. • Solid understanding of data modeling, database design principles, and SQL and Spark SQL. • Experience with version control systems (e.g., Git) and CI/CD pipelines. • Excellent communication skills and the ability to collaborate effectively with cross-functional teams. • Strong problem-solving skills and attention to detail.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.