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Data Engineer (Titan, R & SQL) - Richardson, TX (Onsite)
Salary
-
Job type
Full-time
Location
Richardson, Texas, US
Remote
No
Posted
22 hours ago
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Browse resume examplesJob description
Job Title: Data Engineer (Titan, R & SQL)
Location: Richardson, TX (Onsite)
Duration: Long Term Contract
W2 Only (No C2C)
Job Summary
We are seeking a skilled Data Engineer with strong experience in Titan, R, and SQL to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will work closely with data scientists and business stakeholders to transform raw data into actionable insights.
Key Responsibilities
Design and develop scalable data pipelines using Titan and SQL
Perform data analysis, modeling, and statistical computations using R
Build, optimize, and maintain complex SQL queries and stored procedures
Integrate data from multiple sources and ensure data quality and integrity
Collaborate with cross-functional teams to support analytics and reporting needs
Troubleshoot performance issues and optimize data workflows
Required Skills & Qualifications
Strong hands-on experience with Titan platform
Proficiency in R for data analysis and statistical modeling
Advanced SQL skills (query optimization, joins, indexing, etc.)
Experience with data warehousing concepts and ETL processes
Solid understanding of data structures and data modeling
Best Regards
Kesav N
Phone: +1-
Responsibilities
- The ideal candidate will work closely with data scientists and business stakeholders to transform raw data into actionable insights
- Design and develop scalable data pipelines using Titan and SQL
- Perform data analysis, modeling, and statistical computations using R
- Build, optimize, and maintain complex SQL queries and stored procedures
- Integrate data from multiple sources and ensure data quality and integrity
- Collaborate with cross-functional teams to support analytics and reporting needs
- Troubleshoot performance issues and optimize data workflows
Qualifications
- Strong hands-on experience with Titan platform
- Proficiency in R for data analysis and statistical modeling
- Advanced SQL skills (query optimization, joins, indexing, etc.)
- Experience with data warehousing concepts and ETL processes
- Solid understanding of data structures and data modeling
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