Data Engineer

Role : Data Engineer

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Location : Onsite /Seattle

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Rate : 70 USD/Hr

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Type : W2/1099

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Required Qualifications

   • Seeking an experienced Data Engineer with expertise in Google Cloud (GCP), Azure, Databricks, Snowflake, and data pipeline development.

   • Responsibilities include building and maintaining secure, high-performance data pipelines, supporting DevOps, and ensuring data compliance.

   • Must have experience in SQL, Python, CI/CD, data modeling (Star/Snowflake Schema), and tools like ADF, Airflow, and Kafka.

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Preferred qualifications: 5+ years in Data Engineering, Google Professional Data Engineer Certification, and experience with ClickStream data migration.

   • Design, construct, install, and maintain large-scale processing systems and architecture.

   • Develop data set processes for data modeling, mining, and production.

   • Collect and process raw data from various sources.

   • Implement data quality and validation processes.

   • Transform and clean data for analysis and reporting.

   • Ensure data is stored securely and efficiently.

   • Collaborate with data architects and data scientists to define requirements.

   • Optimize data storage solutions for performance and scalability.

   • Monitor data pipeline performance and troubleshoot issues.

   • Create and maintain documentation for data workflows and structures.

   • Work with APIs to extract and interact with data from external systems.

   • Conduct data analysis to derive insights and recommendations.

   • Evaluate and implement new data technologies as appropriate.

   • Stay current on industry trends and best practices in data engineering.

   • Provide technical support to data users across the organization.

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Skills: problem solving,sql proficiency,azure,snowflake,data bricks,data warehousing,python,databricks,ci/cd,kafka,airflow,snowflake schema,adf,gcp,star schema,big data technologies,google cloud (gcp),data modeling,sql