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LTIMindtree · 1 day ago

Specialist - Data Engineering

Dallas, TX

Full-time

Onsite

Mid, Senior Level

$90K/yr - $125K/yr

5+ years exp

LTIMindtree is seeking a Specialist in Data Engineering with 5 to 7 years of experience. The role involves designing and implementing data engineering solutions using Python and Azure Data Factory, collaborating with teams to understand data requirements, and ensuring data quality and performance optimization.

ConsultingEnterpriseInformation TechnologySoftware

H1B Sponsor Likely

Responsibilities

Lead the design and implementation of batch and streaming data pipelines using Azure Data Factory and related Azure services

Provide technical leadership and mentorship to team members on Python programming and Azure Data Factory best practices

Collaborate with DevOps teams to manage deployment monitoring and support of data engineering solutions

Troubleshoot and resolve data pipeline issues ensuring high availability and reliability

Participate in architectural discussions and contribute to the development of coding standards and security guidelines

Engage with crossfunctional teams to align data engineering efforts with business objectives

Drive automation of data workflows and improve operational efficiency

Support production environments and provide timely incident response and root cause analysis

Qualification

PythonAzure Data FactoryAzure Data Lake

Required

5 to 7 years of experience in designing and implementing data engineering solutions using Python and Azure Data Factory

Design develop and maintain scalable data pipelines and ETL processes using Python and Azure Data Factory

Collaborate with source data application teams and product owners to understand data requirements and deliver analytics solutions

Utilize Azure Data Factory and Azure Data Lake for data ingestion storage and processing

Implement data migration and transformation workflows leveraging Azure cloud services

Ensure data quality performance tuning and optimization of data pipelines

Support continuous integration and continuous deployment CICD pipelines for data engineering projects

Apply best practices for data governance privacy and security within Azure environments

Stay updated with emerging Azure technologies and recommend improvements to existing data solutions