: Senior Software Engineer – Data Engineering

- Role: Senior Software Engineer – Data Engineering
- Job Location: Bangalore
- Word Mode: Hybrid
- Experience: 5-8 yrs years

About the Role We 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 Robust 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.

📌 Senior Software Engineer – Data Engineering (Bengaluru)
🏢 Integers.Ai
📍 Bengaluru