Data Engineer
3 weeks ago
Position Name : Data Architect
Experience Required : 10yrs
Salary : As per the Market Standard or Else whatever budget you have
Notice period : Immediate joiner
Job Type : Full time
Location : Remote
Job Description :
10+ years of proven experience as a Data Engineer with 5+ years as Data Architect.
- Bachelor's degree in computer science, Information Technology, or related field.
- Proficiency in Snowflake with Hands-on experience with Snowflake features such as clustering, materialized views, and semi-structured data processing.
- Excellent problem-solving skills and attention to detail.
- Effective communication and collaboration abilities.
- Relevant certifications (e.g., SnowPro Core / Advanced) are a plus.
- Working experience on Microsoft Azure
- Strong communication and exceptional team player with effective problem-solving skills
Key Responsibilities :
Data Engineering and Architecture : Design, implement, and maintain scalable data pipelines and architectures. Develop, optimize, and manage data models and schemas to support data processing and analytics.
Snowflake Expertise : Utilize Snowflake to build and manage data solutions, leveraging features such as clustering, materialized views, and semi-structured data processing. Implement best practices for Snowflake performance optimization and cost management.
Azure Integration : Integrate data solutions with Microsoft Azure cloud services, ensuring seamless data flow and storage. Utilize Azure tools and services to enhance data processing, storage, and analytics capabilities.
Problem Solving and Optimization : Identify, troubleshoot, and resolve data-related issues, ensuring data quality and integrity. Continuously improve data processing workflows and optimize system performance.
Collaboration and Communication : Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions. Communicate technical concepts and solutions clearly to non-technical stakeholders.
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