Data Engineer
Description -
Job Summary
• This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role conceptualizes, designs and develops analytics models in addressing complex business problems, discovering insights and identifying opportunities that are of value to internal and external business stakeholders, typically using a hypothesis-driven approach. The role implements data quality checks, validation, and data governance processes to ensure accuracy, completeness, and reliability of data.
Responsibilities
• Designs limited enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
• Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines.
• Executes and writes portions of testing plans, protocols,
and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
• Participates as a member of a project team of other data science professionals to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Works with business stakeholders to identify business problems, opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach.
• Collaborates with subject matter experts to select relevant sources of information, translates business requirements into semantic access, conceptual, logical and/or physical data models.
• Translates data into information and insights with explicit scenario analysis and business impact and execution plan to drive impac
📌 Data Engineer (Bengaluru)
🏢 Hp
📍 Bengaluru