Data Engineer

Hi,

Our client is looking for Data Engineer in Sunnyvale, CA below is the detailed requirements.

Job Title : Data Engineer

Location : Sunnyvale, CA

Duration : Fulltime

Note: Coding exp needed

Job Description:

• Bachelor's or master's degree in computer science, Information Technology, or a related field.
• Design, develop, and maintain scalable data pipelines and ETL processes using Snowflake and Python.
• Build and optimize data architectures to support business intelligence, analytics, and machine learning initiatives.
• Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and ensure smooth dataflows.
• Manage and administer Snowflake data warehouses, including schema design, performance tuning, and data security.
• Write efficient, reusable, and maintainable code for data processing and transformation tasks using Python.
• Implement data quality checks and validation processes to maintain data integrity.
• Automate data workflows and improve data reliability and performance.
• Troubleshoot and resolve data-related issues in a timely manner.
• Maintain and document data engineering solutions, best practices, and coding standards.
• Proven experience as a Data Engineer with hands-on expertise in Snowflake and Python.
• Strong proficiency in SQL for querying and manipulating data within Snowflake.
• Knowledge of Snowflake architecture, data sharing, cloning, and security features.
• Experience in developing and managing ETL pipelines and workflows.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and data storage solutions.
• Proficient in data modeling, data warehousing concepts, and database optimization techniques.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving and debugging skills with attention to detail.

Preferred Skills:

• Experience with data orchestration tools like Airflow or Prefect.
• Knowledge of other big data technologies such as Databricks, Spark, or Kafka.
• Familiarity with REST APIs and data integration from external sources.
• Exposure to machine learning pipelines and AI workflows is a plus.