Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Experience: 6–9 Years
Locations- Bangalore, Hyderabad, Pune, Chennai, Coimbatore, Gurugram, Noida
Hybrid

Note - immediate to 30 days' notice period required
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Role Summary
We are seeking an experienced Backend / Integration Engineer to design, develop, integrate, and support enterprise-scale data and application platforms. The ideal candidate will have strong expertise in Python development, ETL/ELT frameworks, PySpark, API engineering, cloud-based data integration, and enterprise application connectivity.
This role will be responsible for building scalable backend services, data pipelines, and integrations across business systems such as CRM, ERP, collaboration platforms, databases, cloud services, and AI-driven applications. The engineer will play a key role in enabling seamless data movement, data quality, governance, and near real-time business process integration.
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Key Responsibilities
Backend Application Development

Design, develop, and maintain scalable backend applications and services using Python.
Build high-performance APIs, microservices, and distributed processing frameworks.
Develop reusable backend components, integration frameworks, and utility services.
Implement secure, scalable, and maintainable application architectures.
Troubleshoot and optimize application performance and reliability.

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Enterprise Integration Engineering

Design and implement integrations across enterprise applications and platforms.
Develop and maintain integrations with:

o Salesforce
o SAP
o SharePoint
o Enterprise Databases
o Data Warehouses
o Cloud Storage Services
o External APIs and SaaS Platforms

Build event-driven and API-driven integration architectures.
Support batch, real-time, and near real-time integration patterns.
Monitor integration health and resolve operational issues.

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API Development & Management

Design and develop RESTful APIs and integration services.
Create secure authentication and authorization mechanisms.
Develop API orchestration and service integration layers.
Build reusable API frameworks and developer-friendly services.
Support API documentation, versioning, and lifecycle management.

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ETL / Data Pipeline Development

Design and build enterprise ETL/ELT pipelines.
Develop scalable data ingestion, transformation, and enrichment processes.
Automate data extraction from multiple enterprise systems.
Build data validation, reconciliation, and auditing mechanisms.
Optimize data movement, processing efficiency, and reliability.

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Big Data & Data Engineering

Develop distributed data processing solutions using PySpark.
Build large-scale data transformation pipelines.
Support structured and unstructured data processing workloads.
Optimize Spark jobs for performance, scalability, and cost efficiency.
Collaborate with data scientists, AI engineers, and analytics teams.

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Database Engineering & Administration

Design and maintain relational and analytical data models.
Develop database schemas, views, stored procedures, and performance optimization strategies.
Manage enterprise databases including:

Databases

PostgreSQL
MySQL
Cloud Databases
Data Warehouses

Responsibilities

Query optimization
Database performance tuning
Data integrity management
Backup and recovery support
Capacity planning

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Cloud Data Engineering

Build and operate data platforms on AWS and GCP.
Develop cloud-native integration and data processing solutions.
Implement scalable data architectures on cloud environments.
Manage cloud data pipelines and infrastructure.

AWS Services

AWS Glue
S3
Lambda
ECS/EKS
API Gateway
RDS

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Data Governance & Security

Implement enterprise data governance standards.
Ensure compliance with data quality, retention, lineage, and security requirements.
Support metadata management and data catalog initiatives.
Ensure proper handling of sensitive and regulated information.
Work closely with governance and security teams to maintain compliance standards.

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DevOps & Deployment

Build and maintain CI/CD pipelines for backend services.
Support automated deployments and release management processes.
Implement monitoring, logging, and observability frameworks.
Support production operations and incident management.

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Required Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
6–10 years of software engineering and integration experience.
Strong expertise in Python development.
Hands-on experience building enterprise integrations and APIs.
Strong understanding of distributed systems and cloud architectures.
Experience working in Agile development environments.

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Required Technical Skills
Programming & Backend Development

Python
SQL
Object-Oriented Programming
Microservices Architecture
REST APIs
Event-Driven Architecture

Data Engineering

ETL / ELT Development
PySpark
Data Transformation
Data Quality Management
Data Validation Frameworks
Batch and Streaming Pipelines

Enterprise Integration

Salesforce Integration
SAP Integration
SharePoint Integration
API Integration
SaaS Platform Integration
Message-Based Architectures

Databases

PostgreSQL, MySQL, etc
Relational Database Design
Query Optimization
Database Performance Tuning

Cloud Technologies:

AWS,
AWS Glue
S3
Lambda
Cloud Storage

DevOps

Git
CI/CD Pipelines
Docker
Kubernetes
Monitoring & Observability

Governance & Security

Data Governance
Data Lineage
Metadata Management
Data Privacy
Security Best Practices
Compliance Frameworks

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Preferred Qualifications

Experience supporting AI/ML and GenAI data platforms.
Experience building Retrieval-Augmented Generation (RAG) data pipelines.
Exposure to vector databases and enterprise search platforms.
Experience with workflow orchestration platforms.
Knowledge of Master Data Management (MDM).
Familiarity with data catalog and governance tools.

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Success Profile
The successful candidate will:

Build scalable and reliable backend systems that power enterprise applications and AI platforms.
Deliver robust integrations across business-critical systems including Salesforce, SAP, SharePoint, and databases.
Develop high-quality ETL pipelines and data engineering solutions.
Enable trusted, governed, and secure enterprise data ecosystems.
Drive cloud-native modernization and automation initiatives.
Partner effectively with product, AI, analytics, and business teams to deliver measurable business value.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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