Data Engineer

Role Overview: As an Architect in this role, you will be responsible for 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 effectiveness of the data infrastructure. Key Responsibilities: - Architect, develop, test, and maintain scalable data warehouses and data pipelines - Utilize expertise in SQL, PySpark/Python, and Azure (ADB, ADF) or AWS (Glue, Lambda, Redshift) - Create databases and advanced data modeling - Prepare data structures for advanced analytics and self-service reporting 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 2 years of experience in Business Intelligence, Data Analytics, Data Engineering, Data Science, Business Process, IT, or related fields - Proficient in English speaking and writing - Familiarity with star and snowflake schemas - Strong expertise in Query and program languages Python/PySpark, SQL Additional Details: The company requires an analytical thinker with exceptional problem-solving aptitude and expertise in Azure/AWS Cloud technologies to succeed in this role.,