Data Engineer

Job Summary

Data Engineer

SQL, data workflows, and AI-driven model development

Responsibilities

Data Integration & Optimization

• Design and optimize SQL queries to support data conversion, data integration, reporting, and analytics.
• Analyze, clean, and transform client data for seamless system integration.
• Configure and validate data mappings, imports, and exports.
• Conduct data audits and perform quality checks to ensure data accuracy and consistency.
• Troubleshoot data-related issues during and after implementation.
  

AI & Machine Learning Development

• Build, validate, and deploy machine learning models using Python or cloud-based AI platforms.
• Collaborate with internal teams to align AI solutions with client business objectives.
• Apply data modeling techniques such as regression, classification, and clustering to deliver predictive insights.
  

Collaboration & Implementation

• Work closely with internal Professional Services, Product, and Customer Success teams to translate business needs into data and AI solutions.
• Partner with cross-functional teams to incorporate client feedback and improve system configurations.
• Document data processes, configurations, and client-specific solutions in detail.
• Provide technical support and consultation to clients throughout the implementation lifecycle.
  

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 3+ years of experience in a Data Science, Analytics, or Professional Services role within a SaaS or technology-driven environment.
• Proficiency in SQL and Excel for data manipulation, transformation, and reporting.
• Experience with data transformation tools such as Talend, Informatica, or Alteryx.
• Strong understanding of relational databases, ETL processes, and data integration techniques.
• Experience working with APIs and data formats such as CSV, XML, JSON.
• Hands-on experience with data modeling (regression, classification, clustering).
• Proficiency in Python or similar programming languages for data science.
• Strong verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.
• Demonstrated experience working directly with clients or internal stakeholders in a consultative capacity.
• Excellent problem-solving, analytical, and project management skills.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
  

About Aumni Techworks

Benefits Of Working At Aumni Techworks

• Our award-winning culture reminds us of our engineering days.
• Medical insurance (including Parents), Life and Disability insurance
• 24 leaves + 10 public holidays + leaves for Hospitalization, maternity, paternity and bereavement.
• On site Gym, TT, Carrom, Foosball and Pool table
• Hybrid work culture
• Fitness group / rewards
• Friday Socials, Annual parties, treks.