Data Engineer - SnowFlakes DBT

Title: Data Engineer - SnowFlakes DBT

Location: Bangalore/ Pune/Hyderabad (Hybrid)

We are seeking a skilled Sr Data Engineer with expertise in Snowflake and DBT to join our dynamic team. The ideal candidate will possess a strong background in data engineering and a passion for building and optimizing data pipelines that support data analytics and business intelligence initiatives.

Responsibilities:

• Design, develop, and maintain robust data pipelines using Snowflake and DBT to ensure efficient data processing and analytics.
• Utilize SnowSQL for querying and managing Snowflake databases and implementing data transformation processes.
• Collaborate with analytics and business teams to understand data requirements and provide solutions that meet organizational needs.
• Implement and manage data integration solutions using IICS (Informatica Intelligent Cloud Services) to connect various data sources.
• Schedule and monitor workflows using Apache Airflow to ensure timely data processing and delivery.
• Troubleshoot and resolve data issues as they arise, ensuring data quality and integrity throughout the pipeline.
• Document ETL processes, data models, and architecture to maintain clear and comprehensive project documentation.
• Stay up to date with the latest industry trends and best practices in data engineering and analytics.

Required Skills:

• Strong experience with Snowflake, including data modeling, performance tuning, and security best practices.
• Proficiency in SnowSQL for building queries and managing data.
• Experience with DBT for transforming and modeling data within Snowflake.
• Familiarity with IICS for integrating disparate data sources and platforms.
• Knowledge of Apache Airflow for orchestrating complex data workflows.
• Excellent problem-solving skills and a strong attention to detail.
• Ability to work collaboratively in a fast-paced environment and manage multiple priorities.

Experience: 6-10 Years experience

Interested candidates please apply using this link- https://app.employlabs.ai/apply/ikjckp57yq8l