Data Engineer - AWS

October 24

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Logo of Tiger Analytics

Tiger Analytics

Machine Learning β€’ Predictive Analytics β€’ Forecasting β€’ Natural Language Processing β€’ Computer Vision

Description

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

Requirements

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

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