rippling
Data Engineer
Ascentt
Pune, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
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Data Engineer – Enterprise Data Platforms & AI-Driven Engineering
We are looking for a highly skilled and passionate Data Engineer to join our high-performance engineering team. The ideal candidate should have strong experience in designing and building scalable enterprise-grade data platforms, modern data pipelines, and cloud-based analytics architectures. This role requires both strong technical expertise and the ability to collaborate with business and technical stakeholders across the organization.
Key Responsibilities
- Design, develop, optimize, and maintain scalable data pipelines for large-scale enterprise data processing.
- Build robust ETL/ELT workflows using modern orchestration frameworks and cloud-native technologies.
- Develop and manage enterprise data architectures using platforms such as Databricks and Snowflake.
- Work with structured, semi-structured, and unstructured data across multiple enterprise systems.
- Architect high-performance data engineering solutions capable of processing large volumes of data efficiently.
- Collaborate with architects, business stakeholders, analytics teams, and product teams to understand data requirements and translate them into scalable technical solutions.
- Lead technical discussions and provide guidance to junior and mid-level engineers.
- Implement data quality, governance, monitoring, security, and observability best practices.
- Optimize data processing performance, storage strategies, and cost efficiency in cloud environments.
- Use AI-assisted development tools such as GitHub Copilot effectively to improve engineering productivity and code quality.
- Contribute to enterprise-level solution design, platform modernization, and innovation initiatives.
- Participate in architecture reviews, code reviews, and technical mentoring.
Required Skills & Experience
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