Associate Data Engineer/Scientist

Role:

We are looking for a full-time result-oriented Data Engineer/Scientist with 3–5 years of experience to join our India team of Barri Financial Group (Barri.com). The candidate should have hands on experience in designing scalable data architectures, integration and migration of data, building cloud-native data solutions on AWS, data modelling, ETL development, AWS services and a good understanding of Data Science and Machine Learning workflows.

Key Responsibilities:

·       Design enterprise data architecture, data warehouse, and OLAP/CUBE models.

·       Lead data integration and migration activities

·       Develop scalable ETL/ELT pipelines and data transformation frameworks.

·       Perform data profiling, mapping, cleansing, reconciliation, and validation.

·       Build and maintain ML data pipelines and model deployment using AWS services/Sagemaker.

·       Develop and manage real-time serverless applications using AWS Lambda and API Gateway.

·       Monitor application/model health, endpoint performance, logs and scheduling of the report generation

·       Troubleshoot deployment issues and optimize production workloads

·       Follow version control and continuous Integration & Deployment (CI/CD) best practices

·       Maintain, update and create dashboards, reports in Power BI

Required:

Educational Qualifications:

• Bachelor’s or master’s degree in computer science, Data Engineering, Information Technology, or a related field.
• 3–5 years of relevant experience in Data Engineering on AWS.

Technical Skills:

Hands-on experience and proficiency in

• Programming: Python, SQL
• Data Engineering:  Enterprise Data Architecture, Master Data Management (MDM), ETL/ELT, Data Modelling, Data Warehousing, OLAP/CUBE, Data Lakes
• AWS: SageMaker, Lambda, API Gateway, S3, CloudWatch, Continuous Integration and Deployment (CI/CD) knowledge, Cloud security best practices, EventBridge Scheduler
• Databases: PostgreSQL, SQL Server
• Data Science: ML Pipelines, Model Deployment, Basic Statistics
• Reporting Tool: Power BI

Preferred:

·       Machine Learning

·       AWS DynamoDB, AWS IAM

·       Real-time Data Processing

·       Experience in Banking, FinTech, Payments, or Digital Risk Analytics.

Desired Attributes:

• Strong analytical, problem-solving skills, high observation abilities and detail orientation
• Ability to communicate insights effectively.
• Ability to work independently in Agile environments
• Self-motivated and eager to learn.

Location: Remote - Bangalore

Salary: Competitive based on experience.