Data Engineer

Role Overview: You will be responsible for architecting, developing, testing, and maintaining scalable data warehouses and data pipelines. Your expertise in SQL, PySpark/Python, and Azure (ADB, ADF) or AWS (Glue, Lambda, Redshift) will be crucial in ensuring the efficiency and reliability of our data infrastructure. Your role will involve creating databases, advanced data modeling, and preparing data structures for advanced analytics and self-service reporting. Key Responsibilities: - Architect, develop, test, and maintain scalable data warehouses and data pipelines. - Create databases and implement advanced data modeling techniques such as star and snowflake schemas. - Prepare data structures for advanced analytics and self-service reporting. - Utilize expertise in SQL, PySpark/Python, and Azure (ADB, ADF) or AWS (Glue, Lambda, Redshift) to optimize data processes. Qualifications Required: - Bachelor's degree or equivalent in IT, Data Science, Analytics, Computer Science, or relevant field. - Work experience with SQL, Python, Azure, or similar technologies. - Minimum of 2 years of experience in Business Intelligence, Data Analytics, Data Engineering, Data Science, Business Process, IT, or related fields. - Proficiency in English speaking and writing. - Strong analytical skills with exceptional problem-solving aptitude. - Expertise in Azure, AWS, or Oracle Cloud. - Proficient in query and program languages such as Python, PySpark, and SQL.,