Data Engineer for Snowflake and Databricks

**Job Description: Data Engineer** We are excited to announce an opening for an experienced Data Engineer to join our dynamic team in the United States. As a key player in our organization, you will be responsible for designing, developing, and implementing robust data pipelines that leverage Snowflake and Databricks technologies. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is optimized for performance, scalability, and reliability. The ideal candidate will possess a strong background in data engineering and cloud data platforms, demonstrating expertise in building and maintaining data solutions that support business intelligence and analytics initiatives. You should be well-versed in various ETL (Extract, Transform, Load) processes and possess a deep understanding of data modeling and data warehousing concepts. In addition to technical skills, we are looking for someone who has a passion for problem-solving and a keen ability to troubleshoot complex data issues. You will be expected to take the initiative in identifying areas for improvement within our data architecture and propose innovative solutions to enhance our data capabilities. This is a contract-to-hire position, providing a unique opportunity to immerse yourself in cutting-edge projects that have a significant impact on our organization. You will have the chance to work alongside a talented team of professionals who are dedicated to driving data-driven decision-making across the business. Key Responsibilities: - Design and implement data pipelines using Snowflake and Databricks to ensure efficient data flow and transformation. - Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions. - Monitor and optimize existing data processes to improve performance and reduce latency. - Develop and maintain comprehensive documentation for data architecture, pipelines, and processes. - Ensure data quality and integrity through rigorous testing and validation procedures. - Stay up-to-date with industry trends and emerging technologies in the data engineering space. Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degrees are a plus. - Proven experience as a Data Engineer or in a similar role, with a strong focus on cloud-based data platforms. - Proficiency in data modeling, ETL processes, and data warehousing concepts. - Hands-on experience with Snowflake and Databricks; familiarity with other cloud services (AWS, Azure, GCP) is a bonus. - Strong programming skills in languages such as Python, SQL, or Scala. - Excellent analytical and problem-solving abilities, with a detail-oriented mindset. - Ability to work effectively in a fast-paced, collaborative environment. We offer a competitive compensation package and the opportunity to work on innovative projects that are shaping the future of our business. If you are a motivated and talented Data Engineer looking for a challenging and rewarding opportunity, we would love to hear from you. Join us in our mission to leverage data to drive insights and enhance decision-making across the organization.