Data Consultant/ Data Engineer

• 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

• Bachelors 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 professional 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 deadlines effectively in a fast-paced environment
• Adaptability to learn new tools, technologies, and business models quickly.
• Domain knowledge in industries like finance, pharma, or insurance is a plus.
• Experience working with SaaS platforms or enterprise-level data systems is an advantage