Join our Team asLead Data Engineer!
Lead Data Engineer will responsible for developing and maintaining data and reporting platforms and lead our team of Data Engineers through challenges.
This key role embraces overseeing the entire engineering lifecycle and ensuring successful data platform implementation. The ideal candidate will drive competency development,act as a trusted advisor for customers, andenhance effectiveness.A Lead Data Engineerleads and managescompanypractices and standards, with expertise inDatawarehouseandLakehousedevelopment for large-scale customers. Essential skills include communication, collaboration, problem-solving, a data-driven mindset, and a passion for automation.
Join us and become another ElitManiac! :)
Nice to have:
Join our Team asLead Data Engineer!
Lead Data Engineer will responsible for developing and maintaining data and reporting platforms and lead our team of Data Engineers through challenges.
This key role embraces overseeing the entire engineering lifecycle and ensuring successful data platform implementation. The ideal candidate will drive competency development,act as a trusted advisor for customers, andenhance effectiveness.A Lead Data Engineerleads and managescompanypractices and standards, with expertise inDatawarehouseandLakehousedevelopment for large-scale customers. Essential skills include communication, collaboration, problem-solving, a data-driven mindset, and a passion for automation.
Join us and become another ElitManiac! :)
,[Leading the Data Engineering competency domain that are targeted for delivery optimization and our team of Data Engineers in Elitmind, Stay ahead of industry trends and best practices, conducting research and executing new techniques, Setting up and developing internal procedures and standards for development and operations, Manage internal Center of Excellence initiatives in DevOps tribe. Gather best practices, frameworks and standards to provide as much reusable components as possible, Provide a technical roadmap and architecture for Data platforms that will be proposed to our customers, Be trusted advisor for customers, Gather customer requirements and prepare work estimation for offers, Participate in creation of Data Platform services offer and selling strategy in area of data platform administration and maintenance] Requirements: SQL Server, Azure, Enterprise Architect, Python, Data management, MS Fabric, CI/CD Pipelines, SQL, CD pipelines, Azure Data, Databricks, Snowflake, dbt Tools: Jira, Confluence, SharePoint, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Small teams, International projects, Microsoft Certification, employee programs, Integration events, Free coffee, Free parking, No dress code, Office in the city center, Modern office.