Posted 12 June, 2026
Senior Data Engineer
VARITE INDIA PRIVATE LIMITED
Bangalore, Karnataka, IN
Full Time
Reference: 26-19008-2522-2
Company Name: VARITE India Private Limited
About The Client:
An American multinational computer software company incorporated in Delaware and headquartered in San Jose, California. They specialize in software for creating and publishing a wide range of content, including graphics, photography, illustration, animation, multimedia/video, motion pictures, and print.
About The Job:
Data Engineering & Pipeline Development
Must-Have Skills
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
About The Client:
An American multinational computer software company incorporated in Delaware and headquartered in San Jose, California. They specialize in software for creating and publishing a wide range of content, including graphics, photography, illustration, animation, multimedia/video, motion pictures, and print.
About The Job:
- We are seeking a Senior Data & ML Engineer to help build and scale the data infrastructure that powers machine learning workflows and product insights.
- This role focuses on developing reliable data pipelines, enabling ML model productionization, and building lightweight applications that make data and insights accessible to business teams.
- You will work closely with data scientists to operationalize machine learning models, build scalable pipelines on Databricks, and integrate ML outputs into downstream tools such as Gainsight and internal analytics platforms.
- In addition, you will develop simple data applications (e.g., Streamlit apps) that allow stakeholders to explore insights and interact with ML predictions.
- This role is ideal for an engineer who enjoys working across the stack—from data pipelines to ML workflows to lightweight applications that deliver business impact.
Data Engineering & Pipeline Development
- Design, build, and maintain scalable data pipelines to support analytics and machine learning workflows.
- Develop ETL/ELT pipelines using Python, PySpark, SQL, and Delta Lake on Databricks.
- Implement data ingestion pipelines from APIs, product telemetry, and external systems.
- Build reliable and well-tested workflows for transforming raw data into ML-ready datasets and features.
- Optimize Spark jobs and data pipelines for performance, reliability, and cost efficiency.
- Collaborate with data scientists to operationalize ML models and prediction pipelines.
- Build feature pipelines and datasets that support model training, evaluation, and inference.
- Integrate ML outputs (predictions, segmentation, scores) into production data workflows.
- Implement monitoring and automation for model retraining and pipeline health.
- Support experimentation and feature engineering workflows for ML projects.
- Build lightweight data applications (e.g., Streamlit apps) to expose insights and ML predictions to internal stakeholders.
- Develop tools that allow product and marketing teams to explore model outputs, segmentation, and performance metrics.
- Enable self-serve access to data insights through simple and Clientive interfaces.
- Build pipelines and services that deliver ML outputs to downstream platforms such as Gainsight and other marketing or product tools.
- Implement APIs or automated workflows to integrate data products with external systems.
- Ensure reliable data delivery and integration across internal analytics and operational systems.
- Develop automated workflows using Databricks Workflows, Airflow, or similar orchestration tools.
- Implement CI/CD best practices for data pipelines and ML workflows.
- Monitor and troubleshoot pipeline failures, data anomalies, and system performance issues.
- Document pipeline architecture, workflows, and operational runbooks.
Must-Have Skills
- 6+ years of experience in data engineering, ML engineering, or related roles.
- Strong programming skills in Python and SQL for large-scale data processing.
- Extensive experience building scalable data pipelines using Spark / PySpark.
- Hands-on experience with Databricks, Delta Lake, or similar distributed data platforms.
- Experience supporting machine learning workflows and operationalizing ML outputs in production environments.
- Experience integrating data pipelines with external systems via APIs or automated workflows.
- Strong debugging, monitoring, and performance optimization skills for distributed data pipelines.
- Experience designing data models and pipelines that support analytics and ML use cases.
- Ability to collaborate effectively with data scientists, product teams, and engineering partners.
- Experience building lightweight data applications using Streamlit, Dash, or similar frameworks.
- Experience with ML lifecycle tools (MLflow, model registries, experiment tracking)
- Familiarity with Azure Cloud (Azure ML, Data Factory, AKS, ACR, Event Hub)
- Hands-on experience with CI/CD pipelines, Docker, and Kubernetes
- Knowledge of feature stores and model monitoring frameworks
- Familiarity with MLOps practices, model monitoring, and retraining workflows.
- Experience integrating ML outputs with customer success platforms (e.g., Gainsight).
- Experience working with product usage data, user segmentation, or behavioral analytics.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
