Job Title: Data Engineer (Snowflake + GCP)
Location: 100% Remote
Job Type: Contract
Job Overview
We are seeking a skilled Data Engineer with expertise in Snowflake and Google Cloud Platform (GCP) to join our data team. The ideal candidate will have experience in data modeling, ETL processes, and cloud-based data solutions to help us optimize our data infrastructure and support our analytics initiatives.
Key Responsibilities
- Design, develop, and maintain data models in Snowflake to support business intelligence and analytics requirements.
- Collaborate with stakeholders to gather requirements and translate them into scalable data solutions on GCP.
- Build and manage ETL/ELT pipelines to integrate data from various sources into Snowflake.
- Optimize data storage, processing, and query performance within Snowflake.
- Ensure data quality and integrity through testing and validation processes.
- Monitor and troubleshoot data workflows, resolving issues as they arise.
- Stay updated with the latest advancements in Snowflake and GCP technologies and recommend best practices.
- Create documentation for data models, ETL processes, and architectural designs.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 7+ years of experience in data engineering or a related role.
- Proficiency in Snowflake, including data modeling, performance tuning, and query optimization.
- Strong experience with Google Cloud Platform services, such as BigQuery, Dataflow, and Cloud Storage.
- Familiarity with ETL tools and processes (e.g., Apache Airflow, Talend, or similar).
- Knowledge of SQL and data warehousing concepts.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively in a team environment.
Thanks & Regards,
Abinaya Mohandass
Abinaya.Mohandass@qbrainx.com