CLOUD DATABRICKS - BIG DATA LEAD
Descripción de la oferta de empleo
They are driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation.
Our client’s Digital offerings have helped clients achieve operational excellence and customer delight.
Their focus lies on taking a leadership position in helping clients attain customer intimacy as their competitive advantage.
They are now on a journey of metamorphosing the experiences of the customer’s customers by leveraging our industry-leading delivery and execution model, built around the strategy— Automate Everything™, Cloudify Everything™, Transform Customer Experiences™.
Powering our client’s complex technology solutions and services is the Bottom-Up Disruption, a disruptive crowdsourcing initiative that brings about innovation and improvement to everyday complexities and, ultimately, growing the client’s business.
The digitally empowered workforce of our client represents various nationalities, comprising employees, and lives the company’s philosophy of ‘customer success, first and always’.
The company reported a global revenue of USD $ Mn.
We are currently searching for a Cloud Databricks - Big Data Lead.
Responsibilities.
Lead the design, development, and integration of enterprise-wide web and Windows applications using Microsoft and other technologies for large-scale projects.
Oversee data engineering tasks and the management of SQL Server backends (SQL Server and newer).
Work with SSIS (experience with SSRS is a plus).
Implement and manage DevOps processes and Git version controls.
Develop solutions on the Azure Data Engineering platform, utilizing ADF, Databricks, Azure Data Lake Storage, Azure Blob Storage, and Azure File Share.
Requirements.
7+ years of experience in building and integrating web and Windows applications for large organizations.
7+ years of experience with applications using SQL Server backend (SQL Server or newer).
7+ years of experience with SSIS (SSRS experience is beneficial).
5+ years of experience using DevOps practices and Git for version control.
2+ years of experience in Azure Data Engineering (ADF, Databricks, Azure Data Lake Storage, Azure Blob Storage, Azure File Share).
Languages.
Advanced Oral English.
Native Spanish.
Notes.
Fully remote.
If you meet these qualifications and are pursuing new challenges, Start your application to join an award-winning employer.
xplore all our job openings | Sequoia Career’s Page.
* Nivel de educación deseada.
Superior - titulado Nivel de experiencia deseada.
Nivel Experto Habilidades.
Azure SQL server SISS *
Detalles de la oferta
- Sequoia Connect
- 06/11/2024
- 04/02/2025
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