Senior/Lead Data Engineer

Title: Senior/Lead Data EngineerLocation: 100% Remote – PST Hours (8 AM – 5 PM PST) – Travel to Fremont, CA once every 2 Months for 3 Days (Expenses Paid)Job Type: Contract RoleKey Skills: Sql, PySpark, Azure, Microsoft Fabric, ADF, and Databricks. About the Role: We are seeking a highly skilled and experienced Senior/Lead Data Engineer to join our dynamic team at KPI, working on challenging and multi-year data transformation projects. 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: Design, development, and implementation of data pipelines and solutions using PySpark, 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:Minimum 12+ years of overall experience in IT Industry.8+ years of experience in data engineering, with a strong background in building large-scale data solutions.4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions)1-2 years of experience in Microsoft FabricSome exposure/experience in SAP constructs