Job description

Job Requirements Job Summary: As a dedicated Analytics Engineer with extensive experience in analyzing and optimizing data workflows, you will play a pivotal role in driving process optimization and efficiency improvements through advanced Python scripting. Leveraging your robust skill set in SQL, relational databases, Python libraries, and web application development, you will contribute to high-impact projects, ensuring best-in-class data-driven solutions and digital innovation across our organization. Key Responsibilities: • Develop and implement Python-based solutions for ongoing projects, including: • Condition-Based Maintenance Program for Industrial Equipment. • Supporting critical monitoring and alerting functionalities. • Design, develop, and maintain robust Python-based web applications to facilitate data access, visualization, and user interaction. • Create and optimize efficient ETL (Extract, Transform, Load) pipelines for processing large datasets, ensuring data quality and timely integration with business intelligence and analytics platforms. • Demonstrate expertise with Apache Airflow to schedule, monitor, and manage workflows and jobs. • Utilize business analysis tools like Power BI to create insightful, actionable data visualizations. • Leverage familiarity with cloud platforms such as Azure to ensure seamless data integration, storage, and scalability. • Collaborate with cross-functional teams to align technical solutions with evolving business requirements, ensuring timely delivery of high-quality software products. • Conduct ongoing code reviews, actively participate in team discussions, and uphold best practices to enhance code quality and maintainability. • Perform advanced regression analyses to significantly enhance sales price prediction accuracy. • Utilize machine learning libraries and statistical tools for predictive modeling and advanced analytics. • Collaborate within Agile teams to design and implement complex algorithms for challenging business problems. • Manage source code and version control using Git, including overseeing pull requests and merges within Azure Repositories. • Apply Natural Language Processing (NLP) techniques for text search, pattern recognition, and other text analytics tasks. • Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field with minimum experience 6+ years of experience and valid US work visa. • Proven experience in analytics engineering, data analysis, or a similar technical role. • Significant hands-on experience in developing Python-based web applications and data driven solutions (e.g., using Flask). • Experience designing, building, and optimizing ETL pipelines for enterprise-scale data processing. • Advanced proficiency in Python, SQL, and core data science libraries (e.g., pandas, NumPy, scikit-learn). • Hands-on experience with Apache Airflow for workflow management. • Proficient with Power BI or similar business intelligence tools. • Working knowledge of cloud platforms (Azure preferred). • Strong understanding of machine learning methodologies and NLP techniques. • Experience with Agile methodologies and version control (Git/Azure Repos). • Excellent problem-solving skills and ability to work collaboratively in diverse, cross-functional teams. • Eagerness to learn emerging technologies and AI applications, continually enhancing personal and team capabilities. Work Experience Job Summary: As a dedicated Analytics Engineer with extensive experience in analyzing and optimizing data workflows, you will play a pivotal role in driving process optimization and efficiency improvements through advanced Python scripting. Leveraging your robust skill set in SQL, relational databases, Python libraries, and web application development, you will contribute to high-impact projects, ensuring best-in-class data-driven solutions and digital innovation across our organization. Key Responsibilities: • Develop and implement Python-based solutions for ongoing projects, including: • Condition-Based Maintenance Program for Industrial Equipment. • Supporting critical monitoring and alerting functionalities. • Design, develop, and maintain robust Python-based web applications to facilitate data access, visualization, and user interaction. • Create and optimize efficient ETL (Extract, Transform, Load) pipelines for processing large datasets, ensuring data quality and timely integration with business intelligence and analytics platforms. • Demonstrate expertise with Apache Airflow to schedule, monitor, and manage workflows and jobs. • Utilize business analysis tools like Power BI to create insightful, actionable data visualizations. • Leverage familiarity with cloud platforms such as Azure to ensure seamless data integration, storage, and scalability. • Collaborate with cross-functional teams to align technical solutions with evolving business requirements, ensuring timely delivery of high-quality software products. • Conduct ongoing code reviews, actively participate in team discussions, and uphold best practices to enhance code quality and maintainability. • Perform advanced regression analyses to significantly enhance sales price prediction accuracy. • Utilize machine learning libraries and statistical tools for predictive modeling and advanced analytics. • Collaborate within Agile teams to design and implement complex algorithms for challenging business problems. • Manage source code and version control using Git, including overseeing pull requests and merges within Azure Repositories. • Apply Natural Language Processing (NLP) techniques for text search, pattern recognition, and other text analytics tasks. • Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field with minimum experience 6+ years of experience and valid US work visa. • Proven experience in analytics engineering, data analysis, or a similar technical role. • Significant hands-on experience in developing Python-based web applications and data driven solutions (e.g., using Flask). • Experience designing, building, and optimizing ETL pipelines for enterprise-scale data processing. • Advanced proficiency in Python, SQL, and core data science libraries (e.g., pandas, NumPy, scikit-learn). • Hands-on experience with Apache Airflow for workflow management. • Proficient with Power BI or similar business intelligence tools. • Working knowledge of cloud platforms (Azure preferred). • Strong understanding of machine learning methodologies and NLP techniques. • Experience with Agile methodologies and version control (Git/Azure Repos). • Excellent problem-solving skills and ability to work collaboratively in diverse, cross-functional teams. • Eagerness to learn emerging technologies and AI applications, continually enhancing personal and team capabilities.

Requirements