Senior Software Engineer

2-4 years
2 months ago 4 Applied
Job Description

  • The Enterprise Data and Insights team at FactSet provides actionable insights based on consistent, trusted data through a robust framework of analysis, infrastructure, and visualizations
  • Our vision is to empower the workforce to make informed decisions that drive value, growth, and efficiency throughout the enterprise
  • We are currently looking for a candidate with strong background in modern, cloud-based data engineering (Databricks preferred) to build and maintain stable and scalable solutions of ingesting and storing terabytes of data in near real-time

Job Requirement:

  • Design and develop data processing and storage workflows

  • Collaborate with other engineers to integrate datasets to establish an end-to-end solution

  • Develop projects using Azure/Lambda functions or Databricks

  • Build and enhance the Enterprise Data Warehouse using Kimball Methodologies

  • Excellent planning, organization, and leadership skills to estimate, track, and complete deliverables.

  • Provide production support with occasional after-hours availability.

Job Responsibilities:

Bachelor s degree, preferably in Computer Science or equivalent professional experience.

  • 2+ years of hands-on experience in designing and implementing data pipelines using Databricks or similar ETL tools (AWS Glue)

  • 2+ years of experience in Advanced SQL programming working with large data sets

  • Strong hands-on experience in SQL and PySpark

  • Understanding of Lakehouse architecture using Delta Lake or Iceberg

  • Understanding of REST APIs Integrations, Key Value data stores and Caching technologies

  • Understanding of core concepts of distributed databases like Redshift, Snowflake etc

  • Strong technical, analytical, troubleshooting, and communication skills

  • Preferred certifications

  • AWS Certified Database - Specialty

  • AWS Certified Data Analytics - Specialty

  • Azure Data Engineer Associate (DP 203)

  • Databricks Certified Data Engineer Professional

  • Databricks Certified Associate Developer for Apache Spark 3.0 - Python






Caching technologies
Key Value data stores
Delta Lake

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