Website:
employlabs.ai
Job details:
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
Click on Apply to know more.