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Data Engineer Snowflake
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Job Info
- Job Identification14528
- Posting Date06/01/2026, 04:01 AM
- Job RoleData engineer-Engineering
- Experience (In Years)0-3
Job Description
This role involves building data pipelines, migrating legacy architecture to AI ready data & semantic layer, collaborating with stakeholders, and optimizing data workflows to support advanced analytics and business intelligence initiatives.
Responsibilities
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Key Responsibilities
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Design, build, and maintain robust, scalable, and reliable data pipelines to support analytics, reporting, and AI/ML use cases
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Lead the migration of legacy data architectures to modern, cloud‑based, AI‑ready data platforms
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Develop and implement semantic layers to enable consistent, business‑friendly access to data for analytics and BI tools
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Collaborate closely with business stakeholders, data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions
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Ensure data quality, integrity, security, and compliance through validation, monitoring, and governance best practices
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Document data architectures, pipelines, and best practices to support knowledge sharing and long‑term maintainability
Qualifications
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Bachelors / Master’s degree in Economics, Statistics, Engineering or a related quantitative field from a top-tier university
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Advanced Python & Pyspark: 2+ years of hands-on experience with performance tuning and complex query optimization
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Hands‑on experience with modern data architectures such as data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
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Snowflake certification (SnowPro Core required; SnowPro Advanced preferred)
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Excellent communication skills, with the ability to explain technical concepts to non‑technical audiences
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Desirable Skills (Good-to-Have)
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Experience supporting AI/ML pipelines and feature engineering
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Working knowledge of data visualization software such as Tableau, Power BI and Looker
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Hands-on experience with cloud platforms: AWS, Azure, or GCP.
Required Skills
- Attention To Consistency
- Bug Troubleshooting and Analysis Skills
- Data Modeling
- Data Pipeline Architecture
- ETL Processes
- Internal Communications
- Interpersonal Relationship Building
- Leadership Capabilities
- Scriptwriting
- Technical Documentation
- Working under Pressure
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