Grade:

Position Name: Senior Engineer - Software

Company overview

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Get to Know the Opportunity

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and systems that deliver trusted data for analysis and product use cases. This role partners with cross-functional teams to understand data needs and implement solutions that support both near-term and long-term objectives. This role requires the ability to contribute to technical design, ensure data quality, and operate with increasing independence and accountability.

• Develop and maintain batch and streaming data pipelines using contemporary tools and frameworks. Design
transformations, optimize performance, and ensure reliable data delivery.
• Design and implement scalable and maintainable data models and storage solutions that align with
business needs and support efficient querying, analysis, and data integration efforts.
• Engage in agile best practices, help refine stories, identify dependencies, and proactively raise risks or
concerns to ensure work is completed on time or escalated when needed.
• Implement and enforce data quality controls, validation, and compliance standards across pipelines.
• Support the deployment, scheduling, and monitoring of data pipelines and workflows to ensure
consistent, reliable execution.
• Maintain comprehensive documentation and advocate for coding standards, best practices, and
reusable components.
• Collaborate regularly with cross-functional teams to clarify data requirements, document assumptions,




and deliver high-quality solutions. Communicate clearly during stand-ups, design discussion, and
retrospectives. Actively contribute to team code reviews and sharing learnings with peers.

The Contributions You Will Make

• 2-5 years of experience in data engineering, data modelling, and ETL pipelines.
• Proficient in SQL and Python for creating, improving, and maintaining data pipelines, including
serverless implementations using Azure Functions.
• Experience with cloud and data platforms, especially Azure and Databricks (Delta Live Tables and Unity Catalog).
• Strong understanding of tools like SnapLogic, Azure Data Factory, and Jenkins for data integration and orchestration.
• Practical experience with Terraform for infrastructure as code and managing deployment pipelines.
• Hands-on experience designing, building, and supporting API-based data integrations, including
authentication, error handling, and performance considerations.
• Knowledge of data quality and monitoring tools, particularly Soda or similar.
• Proficient in version control and CI/CD workflows, using tools like GitHub.
• Solid understanding of data modelling principles (e.g., dimensional modelling, normalization).

Education Qualification

1. Engineering Graduate / BSc in Computer Science / Information Science or Equivalent

Expected Minimum Knowledge & Experience

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's Degree preferred

Other Required Critical Skills

📌 Senior Engineer - Software (India)
🏢 Recognized
📍 India