Hyderabad, Telangana, India
Information Technology
Full-Time
Tarento Group
Overview
About the Role:
We are looking for a skilled and motivated Snowflake Data Engineer to join our data engineering team. The ideal candidate will bring hands-on experience with Snowflake, Iceberg and DBT, and play a key role in building and optimizing scalable, high-performance data pipelines. Exposure to modern ELT tools such as Fivetran is a strong plus.
This role is ideal for professionals who thrive in a fast-paced environment, are passionate about data, and are eager to contribute to the development of a robust data infrastructure.
Key Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines using Snowflake and DBT
- Build and manage data models and transformations that support business intelligence and analytics needs
- Collaborate with data analysts, scientists, and stakeholders to gather requirements and deliver clean, well-modeled datasets
- Optimize performance and ensure reliability and scalability of the data infrastructure
- Implement best practices in data quality, testing, and monitoring
- Participate in code reviews and contribute to continuous improvement of the data engineering process
- Document data workflows, transformation logic, and system configurations
Must-Have Skills & Qualifications:
- 10 - 12 years of hands-on experience in data engineering or a similar role
- Proficient in Snowflake architecture, development, and performance tuning
- Strong experience in DBT (Data Build Tool) for managing transformations and version-controlled data models
- Strong SQL skills with the ability to write optimized, complex queries for large datasets
- Experience working with structured and semi-structured data (e.g., JSON, Parquet)
- Understanding of data warehousing concepts, dimensional modeling, and ELT workflows
- Familiarity with cloud platforms (AWS, Azure, or GCP)
Good-to-Have Skills:
- Experience with Fivetran or similar ELT tools for automated data ingestion
- Knowledge of orchestration tools like Airflow or dbt Cloud
- Familiarity with Git-based workflows and CI/CD practices in data engineering
- Exposure to data governance, security, and privacy frameworks
- Scripting skills (e.g., Python or Bash) for automation and tooling
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