Have Interview Slots -- Urgent Hiring -- Data Engineer / Business Intelligence (BI) Specialist -- Phoenix, AZ (Onsite) -- Long term !!

[Kelly.d]

Hi,

This is Kelly. I represent the Recruitment services within https://lillitechnology.com  Lilli Technology is a global technology and business services consulting firm specializing in Business and IT Consulting & Staffing Services to commercial and government customers

Job Title: Data Engineer / Business Intelligence (BI) Specialist

Location: Phoenix, AZ (Onsite)

Role Overview:

We are looking for an experienced Data Engineer / BI Specialist to design, develop, and maintain robust data pipelines, dashboards, and reporting solutions. The ideal candidate will work closely with business teams, analysts, and IT to ensure high-quality data integration, governance, and visualization across multiple systems and cloud platforms.

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Key Responsibilities:

• Design, develop, and maintain ETL pipelines for ingestion, transformation, and storage of structured and unstructured data.
  
• Implement and maintain data governance and quality processes to ensure accuracy and consistency.
  
• Work with cloud platforms like AWS, OCI, and Snowflake for data storage, processing, and workflow automation.
  
• Build interactive dashboards and visualizations using Tableau, Power BI, OBIEE, or BIP for business and operational insights.
  
• Optimize database performance through query tuning, indexing, and materialized views.
  
• Collaborate with business and operations teams to understand requirements, KPIs, and provide actionable insights.
  
• Automate repetitive tasks using Python, SQL scripts, and workflow orchestration tools like Airflow.
  
• Maintain version control and CI/CD pipelines using Git, Jira, and Jenkins.
  
• Support migration projects, data modeling, and legacy system modernization.
  

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Required Skills & Qualifications:

• Strong SQL skills and experience with relational databases (Oracle, SQL Server, Snowflake).
  
• Experience with ETL tools, Python scripting, and workflow orchestration (Airflow, AWS Lambda, Snowpipe).
  
• Proficiency in BI and visualization tools (Tableau, Power BI, OBIEE, BIP).
  
• Hands-on experience with cloud environments (AWS, OCI, Azure optional).
  
• Knowledge of data governance, data quality, and monitoring practices.
  
• Experience with version control tools (Git) and project tracking (Jira).
  
• Strong analytical, problem-solving, and documentation skills.
  

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Preferred Qualifications:

• Experience in financial services, telecom, automobile, or utilities sectors.
  
• Knowledge of data modeling, performance tuning, and automation.
  
• Experience with dashboards for Risk, Operations, and Finance teams.
  
• Prior involvement in large-scale data integration or migration projects.
  

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Education:

• Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Engineering, or related field