KPI Partners are seeking highly skilled and experienced Senior Data Engineers to join our dynamic team at KPI, working on challenging and multi-year data transformation projects for our clients. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you.
Key Responsibilities :
- Data Engineering Leadership : Lead the design, development, and implementation of data pipelines and solutions using SQL, and related technologies.
- Collaboration : Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions.
- Data Warehousing : Design and implement data warehousing solutions, ensuring scalability, performance, and reliability.
- Continuous Learning : Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform.
- Mentorship : Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development.
Must-Have Skills & Qualifications :
4+ years of PySpark, SQL experience in data engineering3+ years of hands-on Databricks experience3+ years of hands-on Azure data engineering