TAS Lead — Data & Analytics Engineer (Alteryx + AWS)

Tata Consultancy Services Limited; Irvine (CA); Presencial; USD 110 000 - 140 000; Tempo integral

Resumo da oferta

Tata Consultancy Services Limited in Irvine, CA seeks a TAS Lead to architect and deliver enterprise data and analytics solutions. You will lead end-to-end technical flow across data processing, cloud, containers, CI/CD, and production support, mentoring offshore teams.

You will own designs, reviews, and incident resolution, ensuring secure, scalable, reliable solutions. Strong hands-on leadership and deep analytics experience are essential for success.

Qualificações

• Hands-on experience delivering production-grade data and analytics workflows.
• Proven ability to lead end-to-end data processing, orchestration, and analytics solutions.
• Experience guiding onshore/offshore teams and resolving complex incidents.

Responsabilidades

• Lead design, development, enhancement, and support of data analytics solutions.
• Own end-to-end data flow from ingestion to production release and monitoring.
• Develop and optimize Alteryx workflows and data integrations.
• Create Python- and R-based automation and analytics tooling.
• Design and optimize SQL/PLSQL for high-performance processing.
• Build AWS-based capabilities with S3, Secrets Manager, SNS, and ECR.
• Develop and monitor Airflow DAGs and data pipelines.
• Support containerized deployments with Kubernetes and CI/CD with Harness.

Conhecimentos

Alteryx

Python

R

SQL

PL/SQL

Airflow

Kubernetes

AWS

Harness

CI/CD

Ferramentas

AWS S3

Secrets Manager

SNS

ECR

Descrição da oferta de emprego

Tata Consultancy Services Limited in Irvine, CA seeks a TAS Lead to architect and deliver enterprise data and analytics solutions. You will lead end-to-end technical flow across data processing, cloud, containers, CI/CD, and production support, mentoring offshore teams.

You will own designs, reviews, and incident resolution, ensuring secure, scalable, reliable solutions. Strong hands-on leadership and deep analytics experience are essential for success.