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 settings (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 valuable

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