Job Description: We are seeking an experienced and highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in building scalable data pipelines, analyzing complex datasets, and delivering actionable insights through visualizations and automated workflows. Key Responsibilities: Design and develop robust ETL pipelines to extract, transform, and load data from various sources. Write efficient Python scripts to parse structured and unstructured data from APIs, databases, and flat files. Build and maintain data models that feed into interactive Power BI dashboards and reports . Automate data workflows and reporting processes to improve efficiency and accuracy. Conduct exploratory data analysis (EDA) and mining to derive business insights. Collaborate with cross-functional teams including analysts, engineers, and business stakeholders to define data requirements. Ensure data quality, consistency, and compliance with organizational and industry standards. Required Skills and Qualifications: 3–4 years of professional experience as a Data Scientist or Data Engineer . Advanced proficiency in Python for data manipulation (e.g., Pandas, NumPy ). Strong experience in building/managing ETL pipelines using tools like Airflow , Azure Data Factory , or custom Python scripts. Hands-on expertise in Power BI , including dataset creation, dashboard design, and DAX expressions . Solid knowledge of SQL and relational databases such as PostgreSQL, MySQL, or MSSQL . Familiarity with working with REST APIs , JSON , and data normalization techniques. Experience with cloud platforms (Azure, AWS, GCP) is a plus. Show more Show less