3 Pandas Library Jobs

The Data Migration Analyst position is based 2-3 days out of our WeWork office in Bangalore. As a Data Migration Analyst, you will play a crucial role in leading data analysis and migration activities within the customer Salesforce platform. Your responsibilities will include independently solving data-related issues, seeking assistance when necessary, rectifying queries on legacy data, and creating a clean database for seamless upload to the customer Salesforce org. You are expected to be well-versed in the Salesforce ecosystem, proficient in building reports and trackers, and capable of manipulating and updating data as required. Your skill set should encompass hands-on experience in Salesforce data loading activities, a strong understanding of Salesforce reports and dashboards, familiarity with Salesforce sandbox environments, and the ability to prepare big data files using various tools to establish relationships between SFDC objects and fields. Additionally, you should possess knowledge of character encoding, SQL for common SELECT statements, CRM Analytics applications, and data integration setup. It would be advantageous to have expertise in Visual Studio Code, SQL RegEx for string manipulation, data cleansing tools, Python, Pandas Library, R, AI, and data prediction techniques. Within the first 60 days of joining, you will undergo training on the SiteTraker Application, gain insight into ongoing projects and data migration activities, collaborate with different teams to address migration challenges, and establish best practices for data loading processes. By the end of 180 days, you will take ownership of data migration/manipulation processes, facilitate the formation of a data COE team in Bangalore, and oversee all migration activities within SiteTracker. By the end of your first year, you will have expanded the Data COE Team, actively contributed to projects, and collaborated effectively with other team members. The role involves navigating projects seamlessly and contributing to the company's continued success. Sitetracker, a company dedicated to solving infrastructure project management challenges, has made significant strides since its inception. Recognized for its innovative solutions and exceptional workplace culture, Sitetracker continues to invest in its people and aims to address the evolving needs of various industries, including telecommunications, utilities, smart cities, and alternative energy.,

Experience Required: Hands-on experience in Pandas library of Python, Power BI and Advance excel. Good to have knowledge in database development designing, application deployment and automations using python Technical Skills: Programming Languages: Pandas library of Python, Power BI and Advance Excel Knowledge of business intelligence tools like Power BI & Power Automate Database: MS SQL & MS Access Job Responsibilities: Work with data using Python and Pandas. Clean, process, and analyze datasets. Generate reports and visualizations. Optimize data handling for efficiency. Automate data tasks with scripts. Excel MIS reporting. Lead the design and development of highly interactive and scalable Power BI dashboards. Implement advanced DAX calculations and optimize data models for efficiency. Integrate Power BI with cloud-based and on-premise data sources. Collaborate with stakeholders to define data visualization strategies. Knowledge of the business context to create relevant and actionable reports Qualifications and Soft Skills: Good communication skills, teamwork, and ability to handle projects individually. Work as an individual contributor or as part of a team as required. Strong problem-solving abilities. Bachelors degree with relevant experience

Python Architect Primary Requirements: • Experience: >12+yrs of experience working on python & automation project • Expert Proficiency in Python Programming Language: Deep understanding of Python internals, design patterns, and best practices. • Architectural Design and System Planning: Proven ability to design scalable, maintainable, and efficient Python-based architectures. • Extensive Experience with Pandas Library: Advanced knowledge of Pandas for complex data manipulation, analysis, and optimization. • Proficiency in Flask for Robust API and Web Application Development: Experience in designing and implementing RESTful APIs and web applications with a focus on performance and security. • Deep Understanding of SQL and Database Architecture: Ability to design and optimize database schemas, write complex SQL queries, and manage database performance. • Strong Emphasis on Code Quality, Testing, and Deployment: Expertise in designing and implementing comprehensive testing strategies (unit, integration, end-to-end), and experience with CI/CD pipelines. • Experience with Angular framework Good to Have Requirements: • Experience with Google Big Query and Cloud Data Warehousing: Ability to architect and implement data pipelines using Big Query and other GCP services. • Knowledge of Data Integration Tools (e.g., Looker Studio): Experience in designing and implementing data integration strategies. • Experience with distributed systems and microservices architectures. • Experience with Google Cloud Platform (GCP) Services: Expertise in Big Query, Cloud Functions, and other GCP services. • Experience with Data Science and Machine Learning: Knowledge of machine learning libraries and frameworks. • Experience with infrastructure-as-code tools like Terraform. • Experience with event-driven architecture. Key Responsibilities: • Design and Architect Scalable Python-based Systems: Develop architectural blueprints, define system components, and ensure alignment with business requirements. • Engage in daily, hands-on development of code: Actively participate in coding, debugging, and refining Python applications and APIs to ensure high-quality deliverables and continuous system improvement • Lead the Development of Complex Python Applications and APIs: Provide technical leadership, mentor junior developers, and ensure adherence to coding standards. • Optimize Data Processing and Analysis Workflows: Design and implement efficient data pipelines using Pandas and Big Query. • Develop and Maintain Robust Database Solutions: Design and optimize database schemas and implement efficient SQL queries. • Enforce Code Quality Standards and Testing Strategies: Implement comprehensive testing frameworks and ensure code reliability. • Drive Technology Evaluations and Implement Best Practices: Research and evaluate new technologies and recommend architectural improvements. • Collaborate with Cross-functional Teams and Stakeholders: Communicate technical concepts effectively and provide strategic guidance.