Data Engineer, Python

YASH Technologies

. Develop backend services and implement business logic using Python .

Posted 9/18/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend service development using Python, with a strong focus on implementing business logic, REST API development, and data pipeline management in Snowflake. Proficient in managing data governance, security, and compliance in regulated environments.

Highest-signal resume keywords

Python DevelopmentREST API DevelopmentSnowflake Data Pipeline ManagementInfrastructure as Code with TerraformAWS Lambda Event-Driven Workflows

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Hard Skills

Backend Service DevelopmentData Schema ModelingMERGE and STREAM-based CDC Pipeline DevelopmentTask Scheduling and Stored ProceduresWarehouse Performance TuningRBAC and Role ManagementData VirtualizationJSON-based Configuration DesignPydantic ValidationPalantir Foundry Application Development

Soft Skills

Workflow OrchestrationCollaborationGovernance Model DesignApproval Lifecycle ManagementProblem Solving

Tools & Technologies

SnowflakeTerraformAWS GlueS3 Data LakeGitRuffAveva PISnowpipeIAM SecurityPre-commit Hook Framework

Industry Keywords

Data GovernanceCompliance-focused DeliveryRegulated EnvironmentsEnterprise Data ProvisioningSelf-service Data Solutions

Tech Stack

Tools & technologies

AWSPythonTerraform

About the role

Key responsibilities & impact

Develop backend services and implement business logic using Python
Build retry and error-handling mechanisms
Develop and handle REST APIs
Develop MERGE and STREAM-based CDC pipelines in Snowflake
Implement task scheduling and stored procedures
Configure Snowpipe and Snowpipe Streaming ingestion
Manage Snowflake RBAC, roles, grants, secure views, and secure data sharing
Tune and optimize warehouse performance
Provision and standardize Snowflake infrastructure using Terraform
Build AWS Lambda event-driven ingestion workflows and S3 data lake architectures
Integrate AWS Glue Data Catalog and implement IAM-based security
Develop Palantir Foundry Workshop GUIs and applications
Orchestrate backend workflows and processes
Manage data request, approval, and provisioning workflows
Develop multi-stage approval lifecycles with role-based ownership transitions
Own enterprise data provisioning and request platforms end to end
Synchronize source-to-target data models and integrate hierarchical data structures
Integrate Aveva PI process historian data through Lambda → Snowpipe → Snowflake pipelines
Design OT entity modeling and governance frameworks
Implement data access governance and self-service data provisioning
Manage Dev, QA, and Production deployments in regulated environments
Support controlled releases, validated environments, and compliance-focused delivery

Requirements

What you’ll need

5-7 years of experience
Python
Backend service development and business logic implementation
Retry and error-handling mechanisms
Data schema modeling and validation using Pydantic
REST API development and request handling
MERGE and STREAM-based CDC pipeline development
Task scheduling and stored procedure implementation
Secure Views and Secure Data Sharing
Streaming data ingestion using Snowpipe and Snowpipe Streaming
RBAC, role management, and grant administration
Warehouse performance tuning and optimization
Infrastructure as Code using Terraform for Snowflake resource provisioning
Database, role, warehouse, and grant management
Modular and reusable infrastructure deployments
Automated environment provisioning and standardization
AWS Lambda-based event-driven ingestion workflows
S3 data lake storage architecture
Glue Data Catalog integration
IAM-based security and access control implementation
Palantir Foundry Workshop-based GUI and application development
Backend workflow and process orchestration
Data request, approval, and provisioning workflows
Multi-stage approval lifecycle management with role-based ownership transitions
Git-based source control and branching strategies
Pre-commit hook framework implementation
Python linting and formatting using Ruff
Pull request templates and review governance
AI-assisted development workflows (Plan → Build → Review)
JSON-based configuration and request schema design
Hierarchical and relational data modeling
Cross-platform data model synchronization
Enterprise data provisioning and request portals
Data virtualization and analytics platform integration
Aveva PI process historian data integration
Secure data sharing architectures
OT entity modeling and governance framework design
Role-based approval and ownership handoffs
Access request and approval workflow implementation
Role-Based Access Control (RBAC) design
Self-service data provisioning solutions
Business-owner-driven governance models
Dev → QA → Production deployment management
Controlled release and promotion workflows
Support for validated and GxP-equivalent environments
Compliance-focused system delivery and governance practices

Benefits

Comp & perks

Flexible work arrangements
Inclusive team environment
Career-oriented skilling models
Continuous learning, unlearning, and relearning
Agile self-determination, trust, transparency, and open collaboration
Support needed for realization of business goals
Stable employment
Great atmosphere and ethical corporate culture