Senior IT Engineer

Our client operates in the Telecoms Equipment Semiconductors Industry, with its headquarters rooted strongly in the United States. It has branches spread to more than 30 countries, providing employment to more than 45,000 people all over the world. They fall in the Fortune 500 Companies. Their core business is designing and manufacturing semiconductors. They believe in driving digital transformation.

Responsibilities: 

• Support the implementation and enhancement of Enterprise Datahub using Databricks, ensuring seamless integration with existing BI and ERP systems.
• Support complex BI and data platform initiatives while maintaining quality, delivery timelines, and alignment with organizational goals.
• Collaborate with business stakeholders, architects, developers, and analysts to translate requirements into solutions.
• Design, implement, test, and optimize moderately complex data pipelines, ETL/ELT flows, semantic layers, and report solutions with the development team.
• Apply technical knowledge and AI-driven optimization opportunities to improve data quality, validation, reliability, and operational efficiency across supported solutions.
• Develop new and impactful ideas, approaches, and automation opportunities that improve the platform, processes, and user experience.
• Communicates moderately complex information clearly, accurately, and in a timely manner, adapting the message to the audience.

Requirements:

• Degree in Business Informatics, Information Technology, Data Engineering/Analytics, Engineering, or a related field.
• Proven experience in data engineering, application support, BI analytics, or related technical roles.
• Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.
• Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants) to enhance productivity, development, and documentation.
• Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.
• Strong stakeholder management, teamwork, and clear written and verbal communication skills.
• Experience contributing to technical improvements, process optimization, and operational quality.Proficiency in English, both written and spoken.