Senior Data Engineer Lead - SQL, Python, Azure

Cognizant

Austin (TX)

Hybrid

USD 90.000 - 95.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Medical/Dental/Vision/Life Insurance
Paid holidays
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Zusammenfassung

Cognizant is seeking a Technical Lead to drive design, development, and optimization of data-centric solutions using SQL and Python in a hybrid work environment. The role emphasizes secure, scalable applications supporting compliance initiatives and collaboration across technology and business teams during day shifts with no travel requirements.

The candidate will guide engineers, optimize queries and Python logic, and ensure robust performance while aligning with Azure SQL frameworks and

Qualifikationen

  • Advanced proficiency in Azure SQL including schema design, complex querying, performance tuning and cloud data asset management.
  • Strong Python programming skills to build modular, testable services that integrate with Azure data platforms.
  • Experience in compliance solutions or regulated environments to support audit readiness and data governance.

Aufgaben

  • Design and implement robust data solutions using SQL and Python.
  • Coordinate end-to-end development across modules for cohesive integration and timely delivery.
  • Guide junior engineers in SQL and Python coding standards for maintainability and efficiency.
  • Analyze database and workflows to identify bottlenecks and optimize performance.
  • Collaborate with product and compliance stakeholders to align requirements with secure data handling.

Kenntnisse

Azure SQL
Python
Compliance

Jobbeschreibung

Cognizant is seeking a Technical Lead to drive design, development, and optimization of data-centric solutions using SQL and Python in a hybrid work environment. The role emphasizes secure, scalable applications supporting compliance initiatives and collaboration across technology and business teams during day shifts with no travel requirements.

The candidate will guide engineers, optimize queries and Python logic, and ensure robust performance while aligning with Azure SQL frameworks and

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