Data Engineer -Azure and Snowflake

JOB DESCRIPTION

Somos a Tech Mahindra, empresa do Grupo Mahindra, uma multinacional Indiana e está presente no Brasil e em +90 países. Somos mais de 120.000 profissionais que nos ajudam a conectar experiências.

A Tech Mahindra representa o mundo conectado, oferecendo experiências de tecnologia da informação inovadoras e centradas no cliente, permitindo que empresas, colaboradores e a sociedade cresçam.

Nós realmente acreditamos que a tecnologia torna isso possível, mas são as pessoas que fazem isso acontecer. Diversidade Cultural, de Gênero e de Habilidades se alinham nos nossos pilares do Rise e nos permite "Diversidade de Pensamentos", que capacita nossos stakeholders a crescer.

Data Engineer ( Azure) with Snowflake

• 5+ years of complex data technology experience
• Azure Data Services: Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks and Blob Storage.
• Snowflake Expertise: Implement and manage data warehousing solutions using Snowflake, including data modeling, ETL/ELT processes, and performance optimization.
• Data Integration: Integrate data from various sources into Azure and Snowflake environments, ensuring data quality and consistency.
• ETL Development: Develop and maintain ETL processes to support data ingestion, transformation, and loading using tools like Azure Data Factory and Snowflake’s native capabilities.
• SAP HANA: Ability to analyze current models and also migrate data and models from SAP HANA into Snowflake environment, ensuring seamless data flow and consistency across platforms.
• Performance Tuning: Optimize the performance of data pipelines and queries in both Azure and Snowflake environments.
• Security and Compliance: Ensure data security and compliance with industry standards and regulations within Azure and Snowflake platforms.
• Automation: Automate data workflows and processes using Azure DevOps and other relevant tools.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Monitoring and Troubleshooting: Monitor data pipelines and troubleshoot issues to ensure data availability and reliability.
• Documentation: Document data architectures, pipelines, and processes to ensure clarity and maintainability.
• Preferred - Python/Javascript
• Preferred - Tableau/PowerBI exposure
• Preferred - experience with Sales data within a CPG environment
• Self-starter who can see the big picture, prioritize work to make the largest impact on the business and customer's vision and requirements.
• Agile
• English Advanced

RESPONSIBILITIES AND ASSIGNMENTS

Data Engineer ( Azure) with Snowflake

• 5+ years of complex data technology experience
• Azure Data Services: Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks and Blob Storage.
• Snowflake Expertise: Implement and manage data warehousing solutions using Snowflake, including data modeling, ETL/ELT processes, and performance optimization.
• Data Integration: Integrate data from various sources into Azure and Snowflake environments, ensuring data quality and consistency.
• ETL Development: Develop and maintain ETL processes to support data ingestion, transformation, and loading using tools like Azure Data Factory and Snowflake’s native capabilities.
• SAP HANA: Ability to analyze current models and also migrate data and models from SAP HANA into Snowflake environment, ensuring seamless data flow and consistency across platforms.
• Performance Tuning: Optimize the performance of data pipelines and queries in both Azure and Snowflake environments.
• Security and Compliance: Ensure data security and compliance with industry standards and regulations within Azure and Snowflake platforms.
• Automation: Automate data workflows and processes using Azure DevOps and other relevant tools.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Monitoring and Troubleshooting: Monitor data pipelines and troubleshoot issues to ensure data availability and reliability.
• Documentation: Document data architectures, pipelines, and processes to ensure clarity and maintainability.
• Preferred - Python/Javascript
• Preferred - Tableau/PowerBI exposure
• Preferred - experience with Sales data within a CPG environment
• Self-starter who can see the big picture, prioritize work to make the largest impact on the business and customer's vision and requirements.
• Agile
• English Advanced
• 
  

Quem Somos ?

Somos parte do Grupo da Mahindra, empresa no valor de 21 bilhões de dólares, que emprega mais de 240.000 pessoas em mais de 100 países. O Grupo opera nas principais indústrias que impulsionam o crescimento econômico mundial, desfrutando de uma posição de liderança em tratores, veículos utilitários, after-market, tecnologia da informação e resortes de férias.

Nossas plataformas de inovação e recursos reutilizáveis conectam-se através de uma série de tecnologias para entregar um valor tangível para os nossos clientes. 

A Tech Mahindra representa o mundo conectado, oferecendo serviços e soluções de tecnologia da informação, inovadoras e personalizadas de acordo com a necessidade de cada cliente, permitindo que empresas, parceiros e a sociedade Rise™, trabalhem juntos.