
Snowflake Data Engineer
9 hours ago
Job Description
We are looking for an experienced Data Engineer / Technical Lead with mandatory expertise in Snowflake and dbt (data build tool), along with strong skills in Data Warehousing, Data Modeling, and Data Engineering. The ideal candidate will have hands-on experience in AWS data services (Aurora, RDS, DMS, DynamoDB), Oracle, PL/SQL, and SQL, coupled with leadership experience in customer-facing roles for requirement gathering and solution design.
Roles & Responsibilities
Key Responsibilities:
Technical Leadership & Data Engineering:
- Lead end-to-end data warehousing projects using Snowflake and dbt (mandatory skills)
- Design and implement scalable data models, ETL/ELT pipelines, and data architecture in Snowflake
- Develop and optimize dbt models, transformations, and data workflows for efficient analytics
- Work with AWS data services - Aurora, RDS, DMS, DynamoDB - for data integration and migration
- Optimize SQL, PL/SQL queries and database performance (Oracle, PostgreSQL, etc.)
- Implement CDC (Change Data Capture) and real-time data processing solutions
- Ensure data governance, quality, and best practices in data engineering
Requirement Analysis & Customer Handling:
- Collaborate with stakeholders to gather, analyze, and document business requirements
- Handle Change Requests (CRs) and provide technical solutions aligned with business needs
- Act as a bridge between business teams and technical teams for data-driven decision-making
Team Leadership & Mentorship:
- Guide and mentor junior data engineers in Snowflake, dbt, and modern data stack best practices
- Ensure adherence to data security, compliance, and scalability principles
Mandatory Skills & Experience:
- 6-13 years of hands-on experience in Data Engineering, Data Warehousing, and Data Modeling
- Expert-level proficiency in Snowflake and dbt (data build tool) - Mandatory
Strong expertise in:
AWS Data Services (Aurora, RDS, DMS, DynamoDB)
- Oracle, PL/SQL, SQL, and database optimization
- ETL/ELT pipelines & Data Integration
Data Architecture & Dimensional Modeling (Star Schema, Kimball, etc.)
Experience in customer handling, requirement gathering, and solution design
Preferred Qualifications:
- Certification in Snowflake, dbt, or AWS Data Technologies
- Experience with Python, PySpark, or other scripting languages
- Knowledge of CI/CD pipelines for data workflows
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