Senior Data Engineer
Synechron (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 22–32 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable Spark-based data pipelines and enterprise data platforms.
- Lead solution design, architecture discussions, and create technical design documents for data solutions.
- Ensure data quality, governance, security, and performance compliance for large-scale data architectures.
Minimum Requirements
- 8-12 years of experience in Data Engineering.
- Strong hands-on expertise in Apache Spark / PySpark and Data Modeling (ESDM, Semantic, Dimensional).
- Experience designing enterprise data platforms and cloud data solutions, preferably with AWS.
- Strong SQL skills and experience handling large-scale datasets.
Ideal Candidate Profile
- Proven ability to lead solutioning and architectural discussions in data engineering contexts.
- Experience working in Agile delivery environments and collaborating with business and technology stakeholders.
- Strong skills in translating business needs into scalable, secure, and high-performing data architectures.