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 robust 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 modern 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 Synapse)
- Experience building data-intensive applications using modern programming technologies (including but not limited to C#, Java, Python, Scala, and SQL)
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📌 Lead Big Data Engineer (Hyderabad)
🏢 S&P Global
📍 Hyderabad
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