Senior Snowflake Data Engineer

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🕒 April 3

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Urbansoft™

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Urbansoft™ is a company that spearheads the digital transformation journey by developing and building mission-critical software solutions tailored to meet the specific needs of its clients. They blend human insight with cutting-edge technology to create personalized solutions in areas such as Artificial Intelligence, Blockchain, and Cybersecurity. With expertise in data engineering, web and mobile development, and robotic process automation, Urbansoft™ focuses on delivering innovative applications that enhance operational efficiencies and drive business success.

📋 Description

• Design, develop, and implement robust data pipelines and solutions on the Snowflake Data Cloud platform. • Architect scalable and secure data solutions tailored to client needs, leveraging Snowflake’s advanced features. • Develop and optimize ETL/ELT processes for large-scale data ingestion, transformation, and processing. • Collaborate with cross-functional teams, including data scientists, analysts, and stakeholders, to deliver business-critical data solutions. • Ensure best practices in data architecture, security, and performance tuning within the Snowflake environment. • Lead and mentor junior engineers, fostering growth and technical excellence within the team. • Stay abreast of Snowflake updates, emerging technologies, and industry trends to maintain a competitive edge. • Troubleshoot and resolve data-related issues, ensuring high availability and reliability of systems.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 5+ years of experience in data engineering with a focus on Snowflake. • Proven expertise in designing and implementing data architectures on Snowflake. • Hands-on experience with SQL, Python, or other relevant programming languages. • Proficiency with ETL/ELT tools such as DBT, Matillion, or Informatica. • Strong understanding of data modelling, warehousing concepts, and cloud architectures. • Familiarity with cloud platforms like AWS, Azure, or Google Cloud. • Advanced Snowflake Architect Certification preferred. • Experience with Snowflake features such as Snowpipe, Time Travel, and Data Sharing. • Knowledge of data governance, compliance, and security best practices. • Strong communication and leadership skills with a proven ability to drive projects to completion.