This job is with S&P; Global, an inclusive employer and a member of myGwork – 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 The Team: Our enterprise data management team is at the forefront of designing and developing cutting-edge data solutions that drive strategic business outcomes across the organization. We value quick learners who thrive in a dynamic technology environment and can seamlessly transition between collaborative teamwork and independent problem-solving. The team fosters a culture of continuous learning and innovation, where members tackle emerging technologies while maintaining strong analytical rigor and effective cross-functional communication. Responsibilities and Impact: Design and develop scalable data processing pipelines using distributed computing frameworks to handle large-scale enterprise datasets Build and maintain ETL processes that extract, transform,
and load data into strategic information products supporting organizational goals Develop data-intensive applications and services using contemporary programming languages and cloud-based analytics platforms Implement stream processing solutions using real-time data processing technologies to support business-critical operations Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions Provide production support and troubleshooting for data systems, ensuring high availability and performance What We're Looking For: Basic Required Qualifications: 8 years of hands-on experience in technology application development and production support 6 years of experience developing data pipelines that extract, transform, and load data using programming languages such as Python, Scala, or Java Minimum 3 years of experience developing and supporting ETL processes using cloud-based analytics platforms (such as Databricks, Snowflake, or Azure Syna
📌 Lead Big Data Engineer (India)
🏢 S&P Global
📍 India
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