Data Engineer Snowflake
EXL (company site, opens in a new tab)2+ yrsGurugramOn-siteDirect career pageEst. 8–16 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data pipelines supporting analytics, reporting, and AI/ML use cases.
- Lead migration of legacy data architectures to modern, cloud-based, AI-ready platforms including development of semantic layers for business-friendly data access.
- Collaborate with stakeholders (business, data scientists, analysts) to translate data requirements into technical solutions ensuring data quality, integrity, and compliance.
Minimum Requirements
- Bachelor’s or Master’s degree in Economics, Statistics, Engineering, or related quantitative field from a top-tier university.
- Minimum 2+ years hands-on experience with Python and PySpark including performance tuning and complex query optimization.
- Hands-on experience with modern data architectures and cloud data platforms such as Snowflake (SnowPro Core certification required), Databricks, BigQuery, or Redshift.
- SnowPro Core certification required; SnowPro Advanced certification preferred.
Ideal Candidate Profile
- Experienced in migrating legacy data systems to cloud-based AI-ready platforms with strong focus on semantic layers.
- Proficient in managing end-to-end data pipeline development with measurable impact on analytics and AI workloads.
- Able to effectively communicate complex technical details to non-technical stakeholders ensuring alignment across teams.