Job Description
Medium-Senior Level Data Engineer / Data Analyst who can work independently on complex business requirements converting them into data transformation scripts that produce well structured, clean and explainable outcomes.
This role involves more than just technical skill, it requires the ability to communicate effectively with colleagues, challenge unclear or incomplete requirements, and proactively improve how data is collected, analyzed, and utilized.
Experience and Education Required
At least 6 years of experience as Data Analyst / Data Engineer/Data Scientist
Job Profile:
• Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance.
• Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes,



and transformations using Python (Pandas) and SQL to prepare datasets.
• Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks.
• Exploratory Analysis & Insight Generation: Utilize statistical methods, visualization tools, and critical thinking to uncover trends, patterns, and anomalies.
• Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions.
• Documentation & Best Practices: Maintain explicit, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge

📌 Data Scientist (Bengaluru)
🏢 Talodyn Networks Private
📍 Bengaluru