About the Role:

Grade Level (for internal use):
10
You will be responsible for:
- Design and maintain optimal data pipeline architecture to ensure efficient, scalable, and reliable data flow across the organization.
- Assemble and integrate large, complex datasets that meet both functional and non-functional business requirements, ensuring data quality and consistency.
- Build and optimize infrastructure for extraction, transformation, and loading (ETL/ELT) of data from diverse sources using SQL, Python, distributed data processing frameworks, cloud data platforms, and cloud services (such as AWS, Azure, or GCP).
- Collaborate with cross-functional stakeholders, including Executive, Product, Data, and Design teams, to address data-related technical challenges and support their data infrastructure needs.
- Develop data tools and frameworks for analytics and data science teams to empower them in building and optimizing products that position the company as an innovative industry leader.
- Partner with data and analytics experts to continuously enhance functionality, performance,



and scalability of data systems.
- Lead project and stakeholder management activities, taking full ownership of the quality, timeliness, and successful delivery of data products and solutions.

What We're Looking For

Technical Skills
- Minimum 5 years of experience in a data engineering role, with hands-on experience with distributed data processing / big data frameworks (Databricks), Python, cloud data platforms, and AWS or other cloud environments (e.g., Azure, GCP).
- Experience with workflow orchestration / scheduling platforms
- Experience working with version control systems such as GitHub, GitLab, Bitbucket, or Azure Repos.
- Experience maintaining and developing software in production environments utilizing
- CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps
- Experience with modern Python API frameworks and solid understanding of RESTful services and good

📌 Senior Software Engineer- Python, Data Engineer (Ahmedabad)
🏢 S&P Global
📍 Ahmedabad