Proposed Title - Data Consultant Engineering Solutions

Summary: The ideal candidate will play a key role in implementing our SaaS product for clients by focusing on data pipelines, data storage, query writing, and dashboard creation. This role requires a blend of technical expertise, problem-solving skills, and client-focused communication.

Key Responsibilities:
- Design, build, and optimize data pipelines to ingest, process, and store data from client systems.
- Validate data accuracy, completeness, and consistency throughout the pipeline.
- Work with databases to design scalable data storage solutions.
- Troubleshoot and resolve data issues in queries and stored procedures
- Collaborate with clients to design and develop intuitive dashboards and visualizations
- Implement filters, KPIs, and metrics to provide meaningful insights to stakeholders.
- Ensure dashboards are scalable and optimized for performance.
- Create reusable scripts for data cleaning, transformation, and ETL workflows.
- Analyze and resolve data inconsistencies, pipeline failures, or client-reported issues.




- Propose scalable and efficient solutions to handle large datasets.

Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- Proficiency in SQL and programming languages such as Python, JavaScript, or Nodejs
- Strong knowledge of ETL/ELT pipelines, data modeling, and schema design.
- Experience with databases (SQL and NoSQL, e.g., MySQL, MongoDB).
- 2–5 years of skilled experience in data engineering, data consulting, or a similar role.
- Demonstrated experience in building and managing scalable data pipelines and integrating data from multiple sources.
- Previous client-facing or consulting experience is highly desirable
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills for engaging with clients and cross-functional teams.
- Ability to manage multiple projects and

📌 Data consultant (Mumbai)
🏢 Kennect Solutions
📍 Mumbai