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Job Overview: We are looking for highly skilled Senior and Mid-to-Junior Technical Consultants with expertise in SQL, PySpark, Python, Airflow, and API development . The ideal candidates will have hands-on experience in data warehousing concepts (Fact & Dimension) and a strong understanding of supply chain domain processes. You will work closely with cross-functional teams to develop, optimize, and implement scalable data solutions. Senior Technical Consultant: 4-6 years Key Responsibilities: - Design, develop, and optimize data pipelines using PySpark, SQL, and Python . - Implement and manage Airflow DAGs for workflow automation. - Work with APIs to integrate data sources and ensure seamless data exchange. - Develop and maintain data models based on fact and dimension tables for efficient reporting and analytics. - Optimize query performance and data processing for large datasets. - Collaborate with business analysts, data engineers, and stakeholders to understand business requirements and translate them into technical solutions. - Ensure data quality, reliability, and scalability of solutions. - Provide mentorship to junior team members (for the Senior Technical Consultant role). \u200b Requirements Required Skills & Qualifications: - Strong proficiency in SQL, PySpark, and Python . - Hands-on experience with Airflow for scheduling and orchestrating workflows. - Expertise in working with APIs (development and integration). - Solid understanding of data warehousing concepts (Fact & Dimension modeling). - Experience in the supply chain domain is highly preferred. - Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus and not mandatory. - Excellent problem-solving skills and ability to work in an agile environment. - Strong communication skills to effectively collaborate with cross-functional teams
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