Lead Data Engineer @ Elitmind

Join our Team as   Lead 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 d rive competency development ,  act as a trusted advisor for customers , and  enhance effectiveness.  A Lead Data Engineer  leads and manages  company  practices and standards , with expertise in  Datawarehouse  and  Lakehouse  development 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! : )

Key technologies

• 5+ years of experience in configuration / release management, deployment, maintenance and familiarity with various Data Platforms and practices in data area
• Experience in creating frameworks ,  using automation tools  and  executing best practices  in real world Data Platform implementation projects
• Knowledge of enterprise architectures and technology trends, with specific focus on the Microsoft ecosystem
• Very good coding skills with knowledge of best practices in  SQL, Python
• Conceptual and technical knowledge on CI / CD Pipelines, Automation Practices, Technical Operations Monitoring
• Experience in  Azure Data services, Databricks, MS Fabric

Nice to have

Soft skills

Join our Team as   Lead 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 d rive competency development ,  act as a trusted advisor for customers , and  enhance effectiveness.  A Lead Data Engineer  leads and manages  company  practices and standards , with expertise in  Datawarehouse  and  Lakehouse  development 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, snowflake, dbt, Databricks 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.