Data Engineer

Position: Data Engineer

Location: Hyderabad (On-site)

Work Hours: Regular Experience: 2-3 years

CTC: As per industry standards

Must Have Skills:

Data Engineering, ETL/ELT Pipelines, Python/SQL, Data Modeling, Process Automation, Workflow Orchestration, Billing/Data Processing Systems, API Integration, Cloud Platforms (AWS/Azure/GCP), Data Warehousing

About the Role

We are looking for a skilled Data Engineer to build and manage data pipelines and automation solutions focused on billing systems and AI-driven (agentic) process automation. The role involves designing scalable data architectures, enabling real-time data processing, and supporting intelligent automation across business workflows.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for billing and operational data

Build data workflows to automate billing, invoicing, and reconciliation processes

Enable real-time and batch data processing for business-critical use cases

Integrate data from multiple sources including APIs, ERP, CRM, and external systems

Support AI-driven (agentic) workflows with clean, structured, and reliable data

Design and optimize data models, warehouses, and data lakes

Ensure data quality, governance, and security standards

Monitor, troubleshoot, and optimize data pipelines and performance

What You Should Bring

Bachelors degree in computer science, Engineering, or related field

2-4ss years of experience in data engineering and pipeline development

Strong programming skills in Python and SQL

Experience with ETL/ELT tools and workflow orchestration (Airflow, etc.)

Hands-on experience with cloud platforms (AWS/Azure/GCP)

Strong understanding of data modeling and data warehousing concepts

Experience working with large-scale datasets and distributed systems

Strong analytical and problem-solving skills

Preferred Skills

Experience with real-time streaming (Kafka, Spark Streaming, etc.)

Exposure to AI/ML data pipelines and agentic workflows

Knowledge of billing systems and financial data processing

Experience with data visualization tools (Power BI, Tableau)

Familiarity with DevOps, CI/CD, and data governance frameworks