Senior Data Platform Engineer - Azure, PySpark & Lakehouse

Tata Consultancy Services Limited

San Jose (CA)

Sur place

USD 80 000 - 115 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Annual Incentive
Medical Coverage
Parental Leave
Auto & Home Insurance
Training Reimbursement
Vacation & Holidays
Legal & Financial Aid
401K & College Fund

Résumé du poste

Tata Consultancy Services Limited in San Jose, CA is seeking a Senior Engineer to design and implement scalable data solutions. You will work across data engineering, analytics and BI, leveraging PySpark, SQL, and modern data platforms to deliver robust pipelines and governance.

Collaborate with cross-functional teams, ensure security and performance, and contribute to CI/CD and DevOps practices using Azure DevOps and Git.

Qualifications

  • Experience delivering scalable data solutions in cloud environments.
  • Strong knowledge of PySpark, SQL and data modelling.
  • Collaboration with business stakeholders to translate requirements into data architectures.

Responsabilités

  • Collaborate with stakeholders to understand data, analytics and reporting needs.
  • Design end-to-end data solutions using Fabric, ADF, OneLake, Lakehouse and Delta Tables.
  • Build and optimize Lakehouse and Data Warehouse solutions for reporting and AI workloads.
  • Define data models, governance, security and performance strategies.
  • Provide guidance for Fabric adoption, migration and modernization.

Connaissances

PySpark
Data Warehouse
Data Modelling
Big Data Platforms
Data Engineering
Azure Data Factory
CI/CD
Communication & Cross-Team
Azure DevOps
Git
Advanced SQL

Outils

Microsoft Fabric
OneLake
Lakehouse
Delta Tables
Power BI
Azure DevOps
Git
Azure Data Factory

Description du poste

Tata Consultancy Services Limited in San Jose, CA is seeking a Senior Engineer to design and implement scalable data solutions. You will work across data engineering, analytics and BI, leveraging PySpark, SQL, and modern data platforms to deliver robust pipelines and governance.

Collaborate with cross-functional teams, ensure security and performance, and contribute to CI/CD and DevOps practices using Azure DevOps and Git.

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