Database Building/Management

About the internship Are you a skilled Data Engineer with a strong background in data transformation and a passion for analytics? LLMate is looking for a Data Engineering Specialist to join our team. In this role, you'll work closely with marketing and sales data from platforms like Facebook, Google, and Shopify, leveraging your expertise in DBT and Airbyte to drive data efficiency and accuracy. Key Responsibilities: 1.Build and optimize data pipelines to transform and integrate data from various marketing and sales sources. 2. Develop and manage DBT models to ensure reliable and scalable data transformations. 3. Implement and maintain data connectors in Airbyte for seamless data ingestion. 4. Collaborate with cross-functional teams to understand data needs and deliver solutions that support analytics and decision-making. 5. Conduct data validation and cleansing to uphold data quality standards. 6. Generate reports and actionable insights to empower data-driven marketing and sales strategies. 7. Stay up-to-date with advancements in data engineering to drive continuous improvement. Join LLMate and elevate your data engineering career by tackling real-world data challenges in a collaborative, fast-paced environment. Apply now to make an impact in transforming marketing and sales data into valuable insights! Who can apply Only those candidates can apply who: 1. are available for the work from home job/internship 2. can start the work from home job/internship between 3rd Nov'24 and 8th Dec'24 3. are available for duration of 3 months 4. have relevant skills and interests LLMate AI Data Analyst is a product designed to simplify data analysis for various business teams by converting natural language queries into query language. This tool allows teams like sales, marketing, HR, finance, and customer support to interact with their databases directly through conversational inputs. It enables non-technical users to extract actionable insights, perform comprehensive data analyses, and generate reports without needing advanced technical skills. This empowerment leads to faster decision-making processes and improved efficiency across the organization.