Description

You will support a multi-year project migrating legacy data jobs and reports to cloud-based technology solutions and modern data tools.

Responsibilities

• Analyze, classify, migrate, or redesign data jobs and reports into modern tools using Agile methodology.
• Identify business rules for data extraction and assess functional or technical risks such as data latency and frequency.
• Build and prepare data for analytics while documenting and validating progress against current report outputs.
• Perform test cases for data profiling, validate analysis, and drive data quality assessment specifications.
• Optimize data queries and applications using indexes and materialized views to improve performance.

Required Skills

• 5+ years of post-degree professional experience.
• Bachelor of Science degree in Computer Science or equivalent.
• Proficiency in SQL and other querying languages for converting data into modern jobs.
• Strong knowledge of database technologies and data development using Python and PLSQL.
• Experience building and preparing data for analytics.
• Understanding of data ingestion best practices and data design.
• Ability to modify data queries and implement performance tuning.
• Experience creating, publishing, or managing reports and visualizations in Tableau, PowerBI, AWS QuickSight, or AWS DataZone.
• Experience using TOAD data tools and implementing performance tuning in Tableau dashboards.

Preferred Skills

• Cloud experience with AWS, Azure, or Snowflake.

Key Skills

Education

Any Graduate