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Job Description & How to Apply Below
Location: Bengaluru
This job is with S&P Global, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
About the Role:
Grade Level (for internal use):
11 S&P Global Mobility
The Role:
Lead Data Engineer (AWS Cloud, Python)
The Team: We are seeking a Senior Data Engineer with deep expertise in AWS Cloud Development to join our fast-paced data engineering organization. This role is critical to both the development of new data products and the modernization of existing platforms. The ideal candidate is a seasoned data engineer with hands-on experience designing, building, and optimizing large-scale data pipelines and architectures in both on-premises (e.g., Oracle) and cloud environments (especially AWS).
This individual will also serve as a Cloud Development expert, mentoring and guiding other data engineers as they enhance their cloud skillsets.
Responsibilities:
Data Engineering & Architecture
Design, build, and maintain scalable data pipelines and data products.
Develop and optimize ELT/ETL processes using a variety of data tools and technologies.
Support and evolve data models that drive operational and analytical workloads.
Modernize legacy Oracle-based systems and migrate workloads to cloud-native platforms.
Cloud Development & Dev Ops (AWS-Focused)
Build, deploy, and manage cloud-native data solutions using AWS services (e.g., S3, Lambda, Glue, EMR, Redshift, Athena, Step Functions).
Implement CI/CD pipelines, Infrastructure as Code (IaC) using tools like Terraform or Cloud Formation, and monitor cloud infrastructure for performance and cost optimization.
Ensure data platform security, scalability, and resilience in the AWS cloud.
Technical Leadership & Mentoring
Act as a subject matter expert on cloud-based data development and Dev Ops best practices.
Mentor data engineers on AWS architecture, infrastructure as code, and cloud-first design patterns.
Participate in code and architecture reviews, enforcing best practices and high-quality standards.
Cross-functional Collaboration
Work closely with product managers, data analysts, software engineers, and other stakeholders to understand business needs and deliver end-to-end solutions.
Support and evolve the roadmap for data platform modernization and new product delivery.
What We're Looking For:
Required Qualifications
8+ years of experience in data engineering or equivalent technical role.
5+ years of hands-on experience with AWS Cloud Development and Dev Ops.
Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
Deep experience with Oracle (PL/SQL, performance tuning, data extraction).
Proficiency in Python and/or Scala for data processing tasks.
Strong knowledge of cloud infrastructure (networking, security, cost optimization).
Experience with Infrastructure as Code (Terraform).
Familiarity with CI/CD pipelines and Dev Ops tooling (e.g., Jenkins, Git Hub Actions).
Preferred (Nice to Have)
Experience with Google Cloud Platform (GCP) and Snowflake.
Knowledge of containerization and orchestration tools.
Exposure to data cataloging, governance, and quality tools.
About Company Statement:
S&P Global delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you'll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.
S&P Global Mobility
S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.
About S&P Global Mobility
At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow.
For more information, visit
What's In It For …
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