Data Engineer

As a Data Engineer in our company, you will play a crucial role in developing and implementing data solutions for our clients. You will collaborate with business analysts and data architects to convert requirements into technical implementations. **Key Responsibilities:** - Designing, developing, implementing, and maintaining PySpark code through the Databricks UI to support data and analytics use cases. - Coding, testing, and documenting new or modified data systems to build robust and scalable applications for data analytics. - Addressing performance, scalability, capacity, and reliability challenges by delving deep into the issues. - Undertaking research projects and proof of concepts to enhance data processing. **Qualifications Required:** - 5+ years of hands-on experience with Databricks and PySpark. - Proficiency in SQL and data manipulation techniques. - A solid understanding of data warehousing concepts and technologies. **Additional Details:** In addition to your technical skills and qualifications, we value the following qualities in our team members: - Self-motivation and dedication to achieving results in a rapidly growing team and company. - Effective communication skills through speaking, writing, and client presentations. - Ability to consult, write, and present persuasively. - Capacity to work in a self-organized, cross-functional team environment. - Willingness to adapt based on new information, peer reviews, and feedback. - Capability to collaborate with teams and clients across different time zones. - A mindset focused on research and innovation. As a Data Engineer in our company, you will play a crucial role in developing and implementing data solutions for our clients. You will collaborate with business analysts and data architects to convert requirements into technical implementations. **Key Responsibilities:** - Designing, developing, implementing, and maintaining PySpark code through the Databricks UI to support data and analytics use cases. - Coding, testing, and documenting new or modified data systems to build robust and scalable applications for data analytics. - Addressing performance, scalability, capacity, and reliability challenges by delving deep into the issues. - Undertaking research projects and proof of concepts to enhance data processing. **Qualifications Required:** - 5+ years of hands-on experience with Databricks and PySpark. - Proficiency in SQL and data manipulation techniques. - A solid understanding of data warehousing concepts and technologies. **Additional Details:** In addition to your technical skills and qualifications, we value the following qualities in our team members: - Self-motivation and dedication to achieving results in a rapidly growing team and company. - Effective communication skills through speaking, writing, and client presentations. - Ability to consult, write, and present persuasively. - Capacity to work in a self-organized, cross-functional team environment. - Willingness to adapt based on new information, peer reviews, and feedback. - Capability to collaborate with teams and clients across different time zones. - A mindset focused on research and innovation.