Job Description

Experience: 3+ years of professional experience in Data Engineering roles, with at least 2 years focused on cloud-native data services.
Programming Expertise: Expert proficiency in one coding language like Python , Java or .NET.
Data Fundamentals
  • SQL Mastery: Solid expertise in writing complex and highly optimized SQL queries for relational databases and data warehouses.
  • Data Modeling: Deep understanding of data structures, data modeling (e.g., dimensional modeling), and data access patterns.
  • Diverse Data Stores: Experience working with a variety of databases, including relational (e.g., PostgreSQL, MySQL) , NoSQL (e.g., DynamoDB, CosmosDB) , and distributed file systems.
Cloud Proficiency (Practical Tooling)
  • Proven hands-on experience in at least one major cloud platform, utilizing services critical to data engineering.
  • AWS Examples: S3, RDS/Aurora, EMR, Glue, Athena, Redshift, Lambd...

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