Integers.Ai
Website:
integers.ai
Company:
https://www.linkedin.com/company/integers-ai
Seniority: Mid-Senior level
Industries: Software Development
Job details:
Job Description: Senior Software Engineer – Data Engineering
- Role: Senior Software Engineer – Data Engineering
- Job Location: Bangalore
- Word Mode: Hybrid
- Experience: 5-8 yrs years
About the RoleWe are seeking a highly skilled Software Engineer – Data Engineering to join client’s Digital Engineering team. This role will focus on designing, building, and maintaining scalable data platforms, data pipelines, MLOps frameworks, and cloud-native analytics solutions that enable advanced AI, Machine Learning, and digital product initiatives.
The ideal candidate will have 5-8 years of experience in Data Engineering, expert-level proficiency in Python, and hands-on experience implementing MLOps (or equivalent MLOps platforms) and CI/CD pipelines for machine learning and data products. The candidate will work closely with Data Scientists, Software Engineers, Product Owners, and Manufacturing Engineering teams to deliver enterprise-grade data and AI solutions. Modern data engineering roles increasingly emphasize data pipelines, cloud platforms, workflow orchestration, data quality, and ML deployment capabilities.
Key Responsibilities:
Software Engineering Excellence
- Develop high-quality Python applications following software engineering best practices.
- Perform code reviews, unit testing, integration testing, and performance testing.
- Maintain technical documentation, architecture diagrams, and deployment standards.
- Experience implementing DataOps, MLOps, and observability solutions.
- Participate actively in Agile ceremonies including sprint planning, backlog refinement, and retrospectives.
- Good to have - knowledge of math, probability, statistics, and algorithms
- Good to have - Know how with the Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras, etc.)
Data Engineering & Platform Development
- Design, build, and maintain scalable batch and real-time data pipelines.
- Develop robust ETL/ELT frameworks for ingesting, transforming, validating, and serving data from multiple enterprise systems.
- Build and optimize data models, data lakes, and analytics-ready datasets.
- Ensure data quality, lineage, governance, security, and compliance across all data platforms.
- Monitor and optimize data processing performance, reliability, and cost efficiency.
MLOps & Machine Learning Enablement (Good to have)
- Design and implement MLOps frameworks using MLFlow, Kubeflow, SageMaker, or similar platforms.
- Enable model training, experiment tracking, model registry, deployment automation, and monitoring.
- Partner with Data Scientists to operationalize machine learning models into production environments.
- Establish model versioning, reproducibility, rollback, and governance mechanisms.
Cloud & DevOps Engineering
- Create and maintain CI/CD pipelines for data engineering and machine learning workloads.
- Support containerized deployments using Docker and Kubernetes.
- Exposure to helm is a plus.
Must Have Skills
· 5-8 years of professional experience in Data Engineering, Data Platform Engineering
· Expert-level programming skills in Python.
· Strong SQL development and database design skills.
· Experience building production-grade ETL/ELT pipelines and data integration solutions.
· Experience building and managing CI/CD pipelines using:
- Azure DevOps
- GitHub Actions
- GitLab CI/CD
- Jenkins
· Proficiency with Docker and Kubernetes.
· Strong experience with Git-based source control systems.
· Strong understanding of software design patterns, APIs, microservices, and event-driven architectures.
· Soft Skills
o Strong analytical and problem-solving skills.
o Excellent written and verbal communication skills.
o Ability to work independently and within cross-functional teams.
· Continuous learning mindset and passion for emerging Data & AI technologies.
Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Click on Apply to know more.
