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Data Engineer AWS, Snowflake, DBT

Fresher   Kochi, Chennai   16 Jul, 2025
Hucon Solutions India PvtLtd
Job LocationKochi, Chennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryOthers
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Job Title: Data Engineer AWS, Snowflake, DBTExperience: 6 -10 years Salary Range: 15 30 LPA Locations: Chennai, KOCHIJob Summary:We are looking for an experienced Data Engineer with strong expertise in AWS, Snowflake, and DBT to develop, optimize, and maintain cloud-based data pipelines. This role requires proficiency in building scalable data architectures, ensuring efficient data processing, and integrating modern data transformation practices to deliver high-quality data solutions.Key Roles & Responsibilities (R&Rs):1. Data Engineering & Pipeline Development
    • Design and build end-to-end ETL/ELT data pipelines using AWS services, Snowflake, and DBT.
    • Integrate diverse data sources (e.g., relational, unstructured) into Snowflake data warehouse.
    • Ensure high performance, scalability, and reliability of data processing workflows.
    2. Snowflake Data Modeling & Optimization
    • Design and implement Snowflake data models, tables, views, and schemas.
    • Leverage Snowflake features like Streams, Tasks, Time Travel, and Zero Copy Cloning for efficient data handling.
    • Optimize Snowflake performance (queries, storage, and compute resources) and monitor for cost-efficiency.
    3. Data Transformation with DBT
    • Develop data transformation models using DBT (Data Build Tool) to create clean, reliable datasets for analytics.
    • Implement version control, testing, and documentation best practices with DBT.
    • Collaborate with data analysts and scientists to ensure seamless data access and consistency.
    4. Cloud Integration & Automation
    • Work with AWS services like S3, Redshift, Lambda, and Glue to facilitate data ingestion, processing, and orchestration.
    • Automate data workflows and ensure data pipelines are reliable, scalable, and error-free.
    • Implement data monitoring, logging, and alerting to ensure pipeline reliability.
    5. Collaboration & Documentation
    • Collaborate with cross-functional teams to understand data requirements and design solutions.
    • Document data models, transformation logic, and technical specifications for internal use.
    • Troubleshoot issues and provide performance optimization recommendations.
    Required Skills & Qualifications:
    • Bachelors/Masters degree in Computer Science, Engineering, or a related field.
    • 6-10 years of experience in data engineering with strong hands-on experience in AWS, Snowflake, and DBT.
    • Solid understanding of Snowflake architecture and performance optimization.
    • Proficiency in DBT for building, testing, and maintaining data transformation workflows.
    • Strong experience with AWS services like S3, Lambda, Redshift, and Glue.
    • Advanced SQL skills and experience in query optimization.
    • Programming knowledge in Python or Java.
    Preferred Skills (Good to Have):
    • Certifications: AWS Certified Solutions Architect, Snowflake SnowPro, or DBT Fundamentals.
    • Experience with CI/CD for data pipelines (using tools like Git, Jenkins, Terraform).
    • Familiarity with data visualization tools (e.g., Power BI, Tableau).
    • Knowledge of data governance and security practices in cloud environments.

Keyskills :
snowflakedata engineeringdbtdata modelsaws

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