Job Description
Job Title: Senior Data Engineer
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Location: Hudson Street, NJ (Hybrid)
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Duration: 12 Months+
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Interview mode: Face to face (Mandatory)
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Role Summary
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We are looking for an experienced Senior Data Engineer to design and deliver Snowflake-centered data solutions supporting analytics, operational reporting, and AI-ready data foundations.
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The ideal candidate should have strong hands-on experience with Python, SQL, AWS, and modern data warehousing practices. The role involves building reliable ETL/ELT pipelines, optimizing performance and cost, and improving the quality and usability of enterprise data assets.
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You will work across data modeling, pipeline automation, and secure cloud data architecture to help teams consume trusted data at scale.
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Key Responsibilities
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- Design, build, and maintain scalable ETL/ELT pipelines and Snowflake data warehouse solutions.
- Develop Python and SQL transformations for structured and semi-structured data.
- Implement Snowflake architecture patterns, including Snowpark-based processing, to improve performance, cost control, and secure data access.
- Leverage AWS services and cloud data architecture practices for storage, orchestration, and data integration.
- Create and refine data models supporting analytics and AI/ML-ready datasets.
- Monitor pipeline health and troubleshoot data quality and runtime issues.
- Improve automation and deployment practices to reduce failures and ensure operational stability.
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Must-Have Skills
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- Cloud Data Platform & Warehousing: Snowflake, Data Warehousing, Snowflake Snowpark.
- Programming & Query Languages: Python, SQL.
- Data Engineering: ETL/ELT Pipelines, Data Modeling.
- Cloud Platform: AWS.
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