Analytics & Insights Engineer III - ETL & Data Quality

PowerToFly; Georgia; On-site; USD 110,000 - 180,000; Full time

Job summary

Deloitte's AI & Data team is seeking a PROJECT - Data Engineer III to design, build, and optimize ETL workflows for complex client data integration projects. You will work within a high-caliber team delivering scalable data solutions across multiple environments.

The role emphasizes improving data quality, performance, and reliability while collaborating with analysts, engineers, and clients to meet requirements and timelines.

Qualifications

• Bachelor's degree in a technical field required.
• 8+ years of experience in ETL development, data integration, or data engineering.
• Experience with SQL, relational DBs, and stored procedures.

Responsibilities

• Design, develop, test, and maintain ETL processes and workflows supporting client data integration needs
• Develop and optimize data transformation logic, SQL queries, stored procedures, and database processes to improve performance and reliability
• Implement data validation, cleansing, and quality assurance processes to support data accuracy and consistency
• Automate data integration processes and identify opportunities to improve operational efficiency
• Monitor ETL jobs, troubleshoot failures, performance issues, and data discrepancies, and provide production support for data-related issues
• Develop and maintain technical documentation for ETL workflows, data processes, and support procedures

Skills

Independent work

Team collaboration

Effective communication

Detail oriented

Project leadership

Task prioritization

Interpersonal skills

Meeting deadlines

Guidance to others

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or another technical field

Tools

SSIS

Informatica

Job description

Deloitte's AI & Data team is seeking a PROJECT - Data Engineer III to design, build, and optimize ETL workflows for complex client data integration projects. You will work within a high-caliber team delivering scalable data solutions across multiple environments.

The role emphasizes improving data quality, performance, and reliability while collaborating with analysts, engineers, and clients to meet requirements and timelines.