Information Technology_USA - USA_Engineer

Real SoftJacksonville, FL
Onsite

About The Position

This role focuses on Pipeline Development, Data Modeling, Performance Optimization, Data Quality & Integrity, and Operations within the Information Technology sector. The primary responsibilities include designing and implementing ETL/ELT pipelines, developing data models, optimizing Snowflake queries and Spark jobs, ensuring data quality, and troubleshooting production issues.

Requirements

  • 6-8 Years of experience in Data Engineering.
  • Proficiency in PySpark.
  • Proficiency in SQL.
  • Experience with Snowflake.
  • Experience with data modeling (Star/Snowflake schemas).
  • Experience with ETL/ELT pipeline development.
  • Experience with Git for version control.

Responsibilities

  • Design and implement robust ETL/ELT pipelines using PySpark and SQL to ingest data from diverse sources including APIs, flat files, and relational databases.
  • Develop and manage complex data models (e.g., Star/Snowflake schemas) and maintain Fact and Dimension tables within Snowflake.
  • Monitor and tune Snowflake queries and Spark jobs to optimize performance, reduce latency, and manage computational costs.
  • Implement automated data validation frameworks and testing procedures to ensure a "single source of truth" and high data reliability.
  • Troubleshoot production pipeline issues and manage version control via Git.
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