Azure Data Platform Engineer - ETL/ELT & DW

Tata Consultancy Services Limited; Grand Rapids (MI); Presencial; USD 100.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary Incentive

Medical Coverage

Parental Leaves

Insurance Options

Commuter Benefits

Training Reimbursement

Vacation & Holidays

401K Plan

Performance Bonus

Descripción de la vacante

Tata Consultancy Services Limited in Grand Rapids, MI is seeking an Engineer to design and develop scalable Azure-based data pipelines and data platforms. You will work on ETL/ELT solutions, data ingestion, transformation, and integration while ensuring performance and reliability.

The role involves collaborating with business, analytics, and application teams, supporting production deployments, monitoring, and troubleshooting in a technology-focused environment.

Formación

• Design and develop scalable data pipelines using Azure data services.
• Build and maintain Azure-based data platforms and data warehouses.
• Implement robust data ingestion, transformation, and integration processes.

Responsabilidades

• Design and develop scalable data pipelines and ETL/ELT solutions.
• Build and maintain Azure-based data platforms and data warehouses.
• Implement data ingestion, transformation, and integration processes.
• Optimize data processing performance and reliability.
• Collaborate with business, analytics, and application teams.
• Support production deployments, monitoring, and troubleshooting.

Conocimientos

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Azure Synapse Analytics

Python

PySpark

SQL

ETL/ELT Development

Data Warehousing

CI/CD

Azure DevOps

Data Modeling

Performance Tuning

Descripción del empleo

Tata Consultancy Services Limited in Grand Rapids, MI is seeking an Engineer to design and develop scalable Azure-based data pipelines and data platforms. You will work on ETL/ELT solutions, data ingestion, transformation, and integration while ensuring performance and reliability.

The role involves collaborating with business, analytics, and application teams, supporting production deployments, monitoring, and troubleshooting in a technology-focused environment.