Job Opportunities API

Senior Data Engineer / Data Scientist Experience: 3–5 Years Job Type: Full-Time Job Summary We are looking for a skilled Senior Data Engineer / Data Scientist with 3–5 years of hands-on experience in Python, ETL pipeline development, statistical analysis, and data optimization . The ideal candidate should be comfortable working with large datasets, building reliable data pipelines, performing statistical analysis, and translating data into meaningful insights. Key Responsibilities • Design, develop, and maintain robust and scalable ETL pipelines for data extraction, transformation, and loading. • Develop efficient data processing and transformation workflows using Python . • Perform statistical analysis on structured and unstructured datasets to identify trends, patterns, and business insights. • Optimize data pipelines, queries, and data processing workflows for improved performance and scalability. • Clean, validate, transform, and prepare data for analytics and reporting. • Work with cross-functional teams to understand data requirements and deliver reliable data solutions. • Identify data quality issues and implement appropriate validation and cleansing processes. • Develop reusable and maintainable Python scripts and data processing solutions. • Troubleshoot pipeline failures and resolve data-related issues. • Document data workflows, pipelines, processes, and technical solutions. • Ensure data solutions follow best practices for performance, reliability, and maintainability. Required Skills & Experience • 3–5 years of relevant experience in Data Engineering, Data Science, Analytics Engineering, or a similar role. • Strong hands-on experience with Python . • Strong experience in ETL pipeline development and data transformation. • Solid understanding of statistical analysis and statistical concepts. • Experience with data optimization , including query and pipeline performance optimization. • Strong SQL skills and experience working with relational databases. • Experience working with large datasets and data processing workflows. • Strong analytical and problem-solving skills. • Ability to work independently as well as collaborate effectively with technical and business teams. Preferred Skills • SAS experience is highly preferred. • Experience with SAS programming, SAS data processing, or SAS analytics. • Exposure to cloud data platforms such as AWS, Azure, or GCP . • Experience with data visualization and reporting tools. • Knowledge of data warehousing and database concepts. • Familiarity with modern data engineering tools and frameworks.