Job Summary

We are seeking a Senior Data Engineer (G10) with strong expertise in ETL development, Microsoft Azure, and SSIS , to join as an individual contributor .

This role focuses on designing, developing, and maintaining robust data pipelines and platforms , while also taking ownership of the data environment , ensuring stability, performance, and scalability.

The ideal candidate is a hands-on engineer with deep ETL experience, capable of working independently and ensuring the smooth operation of data systems in production .

Key Responsibilities

ETL Development & Data Engineering

- Design, develop, and maintain ETL/ELT pipelines using SSIS, Azure Data Factory, and related tools .
- Build and optimize data integration workflows across multiple data sources.
- Develop and maintain data models and transformations to support analytics and reporting.
- Write and optimize complex SQL queries for large datasets.

Azure Data Platform

- Work with Microsoft Azure services (Data Factory, Azure SQL, storage, etc.) to build scalable data solutions.
- Support migration and modernization of on-premise ETL solutions (SSIS) to Azure where applicable.
- Utilize Azure Databricks (nice to have) for advanced data processing.

Environment Ownership & Operations

- Take ownership of the data platform environment , ensuring availability, performance, and reliability .
- Monitor, troubleshoot, and resolve data pipeline and system issues in production.
- Implement and maintain scheduling, logging, and alerting mechanisms .
- Ensure data quality, consistency, and integrity across systems.

Governance & Best Practices

- Apply data governance, security, and compliance standards .




- Follow and promote best practices in ETL development, version control, and deployment .
- Contribute to documentation and standardization of data processes.

Collaboration

- Work closely with data architects, analysts, and business stakeholders to deliver data solutions.
- Support integration of data systems with downstream applications and reporting tools .

Required Skills & Experience

Mandatory

- 7–10 years of experience in data engineering and ETL development .
- Strong hands-on experience with SSIS (must-have) .
- Proven experience with Microsoft Azure (Data Factory, Azure SQL, storage services).
- Strong expertise in SQL (performance tuning, optimization).
- Experience building and maintaining end-to-end ETL pipelines .
- Solid understanding of data warehousing and data modeling concepts .

Technical Skills

- Experience managing and supporting production data environments .
- Familiarity with job scheduling, monitoring, and troubleshooting tools .
- Exposure to Azure Databricks or PySpark (preferred).

Nice to Have

- Experience with Node.js for building lightweight services or integrations.
- Exposure to cloud migration projects (on-prem to Azure) .
- Experience with CI/CD pipelines for data solutions .
- Familiarity with Power BI or reporting tools .

Key Competencies

- Solid ownership mindset and accountability for systems.
- Ability to work independently in an IC role .
- Excellent problem-solving and troubleshooting skills .
- Good communication and collaboration abilities .

This version positions the role as:

- Senior IC (not a manager)
- Strong ETL + SSIS backbone
- Azure-focused with modernization angle
- Accountable for environment stability (Dev + Ops blend)

📌 Software Development Advisor (Bengaluru)
🏢 NTT DATA Services
📍 Bengaluru