Databricks Engineer

Join KPI Partners as a Databricks Data Engineer and contribute to cutting-edge data solutions. We are seeking an experienced professional with a robust background in cloud data engineering and a passion for immediate impact. This remote opportunity is perfect for individuals who thrive in dynamic environments and are eager to leverage their expertise in modern data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Azure cloud services.
• Implement efficient data processing solutions with Python, SQL, and PySpark.
• Optimize and troubleshoot data engineering workflows to ensure high performance and reliability.
• Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions.
• Ensure data quality, security, and governance standards are met throughout the data lifecycle.
• Stay abreast of emerging technologies and best practices in data engineering and cloud platforms.

Requirements

• 5-8 years of professional experience as a Data Engineer or in a similar role.
• Strong proficiency in Azure cloud services and Databricks platform.
• Expertise in Python, SQL, PySpark, and Apache Spark.
• Demonstrated experience in designing and building large-scale data solutions.
• Ability to work independently and as part of a remote team.
• Excellent problem-solving skills and attention to detail.

What We Offer

• Opportunity to work with leading-edge data technologies and platforms.
• A collaborative and supportive remote work environment.
• Challenging projects that will enhance your skills and career growth.
• Immediate joining for qualified candidates.