Sr Data Engineer

Please share profiles for Sr Data Engineer Role.

1. Dallas based- GC/ US citizens- no visa dependent profiles pls.
2. Hybrid role – Candidate should be ready to go to client office in Richardson , Tx 3 days a week.

Required Qualifications:

• 8+ years of experience with SQL, NoSQL
• 6+ years of experience with Python (or a comparable scripting language)
• 10+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
• 10+ years of experience with ETL/ELT, and building high-volume batch/realtime data pipelines
• 3+ years of experience with reporting/analytic tools
• 10+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
• 10+ years of experience in building data pipelines in cloud
• 4+ years of experience with Big data and cloud architecture
• Experience with Git, CI/CD pipeline, and other DevOps principles/best practices

· Experience with bash shell scripts, UNIX utilities & UNIX Commands

· Experience with Agile Methodology

As a Sr Data Engineer, you will:

• Develops and maintains data pipelines and builds out scalable solutions to support continuing increases in data volume and complexity.
• Collaborates with business teams to design and improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of BI Reporting teams, product managers, and analysts.
• Work with architects or tech leads in design of data integration and data quality framework.
• Work data profiling, data wrangling to support design and integration of data pipelines, building AI/ML models and support reporting requirements

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.