krtrimaiq cognitive solutions
https://www.krtrimaiq.ai/About
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Jobs at krtrimaiq cognitive solutions
PythonWe are seeking an experienced and hands-on Senior Developer to play a critical role in the evolution of our platform. This role will take primary responsibility for designing and implementing a range of core system and feature capabilities and will be expected to contribute to the overall information model, software architecture, and coding standards of the product. The position is designed to alleviate the hands-on coding demands on our current VP of R&D.
You will work closely with our existing engineering leadership and cross-functional teams to ensure scalable, maintainable, and high-quality code delivery. You will also actively contribute to development work, assist with critical PR reviews, and mentor team members. From time to time, you may be called upon to deploy infrastructure and software on Azure via Terraform and Ansible.
This role requires deep expertise in Python-based software architecture, strong data engineering and machine learning understanding, and a demonstrated ability to align technical execution with business goals.
Responsibilities
Architecture & Technical Leadership
- Own and develop a variety of core system capabilities and reporting features.
- Define and enforce coding standards, design patterns, and best practices across the development team.
- Perform rigorous code reviews to ensure high-quality, maintainable, and scalable codebases.
- Work closely with the VP of R&D and cross-functional teams to ensure code developed by the team aligns with Oii architecture, product strategy, and long-term scalability.
Development & Code Quality
- Contribute hands-on to critical components of the codebase.
- Guide the team in balancing technical debt, scalability, and delivery speed.
- Maintain high standards in code versioning, testing, documentation, and deployment.
Collaboration & Mentorship
- Act as a technical advisor to the product and leadership teams.
- Mentor and support the development team, helping to upskill engineers in architecture, design patterns, and problem-solving.
- Proactively identify potential risks and propose mitigation strategies.
Infrastructure & Deployment
- Oversee infrastructure as code practices using Terraform and Azure.
- Maintain robust CI/CD pipelines leveraging GitHub workflows.
- Ensure efficient and reliable deployment processes.
Requirements
- 8+ years of professional software development experience.
- Expert-level Python programming skills.
- Deep experience with:
- GraphQL API design and development.
- Alembic for database migrations.
- Poetry for dependency and environment management.
- GitHub workflows, CI/CD deployment pipelines, and PR processes.
- Azure cloud services, Terraform, and Ansible for infrastructure deployment.
- Strong understanding of machine learning workflows, data engineering pipelines, and production ML operations.
- Experience designing scalable distributed systems.
- Ability to critically assess and review code to maintain architectural integrity.
- Excellent written and verbal communication skills.
Additional Experience (Nice to Have)
- Experience with AI agent frameworks or agentic tooling.
- Prior experience in supply chain, manufacturing, or industrial SaaS platforms.
- Experience contributing to SaaS platform security and compliance practices.
- Prior experience in fast-growth startups or scaling technology organizations.
Amazon Web Services (AWS)PythonJob Title: Senior Data Engineer
Location: Bangalore | Hybrid
Company: krtrimaIQ Cognitive Solutions
Role Overview:
As a Senior Data Engineer, you will design, build, and optimize robust data foundations and end-to-end solutions to unlock maximum value from data across the organization. You will play a key role in fostering data-driven thinking, not only within the IT function but also among broader business stakeholders. You will serve as a technology and subject matter expert, providing mentorship to junior engineers and translating the company’s vision and Data Strategy into actionable, high-impact IT solutions.
Key Responsibilities:
- Design, develop, and implement scalable data solutions to support business objectives and drive digital transformation.
- Serve as a subject matter expert in data engineering, providing guidance and mentorship to junior team members.
- Enable and promote data-driven culture throughout the organization, engaging both technical and business stakeholders.
- Lead the design and delivery of Data Foundation initiatives, ensuring adoption and value realization across business units.
- Collaborate with business and IT teams to capture requirements, design optimal data models, and deliver high-value insights.
- Manage and drive change management, incident management, and problem management processes related to data platforms.
- Present technical reports and actionable insights to stakeholders and leadership teams, acting as the expert in Data Analysis and Design.
- Continuously improve efficiency and effectiveness of solution delivery, driving down costs and reducing implementation times.
- Contribute to organizational knowledge-sharing and capability building (e.g., Centers of Excellence, Communities of Practice).
- Champion best practices in code quality, DevOps, CI/CD, and data governance throughout the solution lifecycle.
Key Characteristics:
- Technology expert with a passion for continuous learning and exploring multiple perspectives.
- Deep expertise in the data engineering/technology domain, with hands-on experience across the full data stack.
- Excellent communicator, able to bridge the gap between technical teams and business stakeholders.
- Trusted leader, respected across levels for subject matter expertise and collaborative approach.
Mandatory Skills & Experience:
- Mastery in public cloud platforms: AWS, Azure, SAP
- Mastery in ELT (Extract, Load, Transform) operations
- Advanced data modeling expertise for enterprise data platforms
Hands-on skills:
- Data Integration & Ingestion
- Data Manipulation and Processing
- Source/version control and DevOps tools: GITHUB, Actions, Azure DevOps
- Data engineering/data platform tools: Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Apache Airflow, AWS Kinesis, Amazon Redshift, SonarQube, PyTest
- Experience building scalable and reliable data pipelines for analytics and other business applications
Optional/Preferred Skills:
- Project management experience, especially running or contributing to Scrum teams
- Experience working with BPC (Business Planning and Consolidation), Planning tools
- Exposure to working with external partners in the technology ecosystem and vendor management
What We Offer:
- Opportunity to leverage cutting-edge technologies in a high-impact, global business environment
- Collaborative, growth-oriented culture with strong community and knowledge-sharing
- Chance to influence and drive key data initiatives across the organization
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