Data Engineer

SNOWFLAKE AI DEVELOPER:

Location : Toronto, Ontario, Canada

Department : Consultant

Designation : Technical Architect

Qualification : Bachelor of Engg. or/and MBA

Years of Experience : Above 5

Mandatory Skills : Snowflake AI,COrtex,SQL,ETL,Data Engineering

Desired Skills : Python

Skills To Be Evaluated On : snowflake AI, COrtex, SQL,ETL,Data Engineering

Description :

Job Description
:

Deep Snowflake expert who can also engage with business users to identify areas where AI, intelligent analytics, and automation can improve decision-making and operational efficiency.

Tavant Technologies is seeking a Deep Snowflake Expert who possesses a strong understanding of data warehousing solutions and can effectively engage with business users. The ideal candidate will identify opportunities where AI, intelligent analytics, and automation can enhance decision-making processes and improve operational efficiency. This role will involve collaborating with cross-functional teams to gather requirements, analyze data, and provide actionable insights that drive business value.

Key Responsibilities
:

• Utilize Snowflake to design, implement, and maintain data warehousing solutions that meet business requirements.

• Work closely with business users to gather insights and identify key areas where AI and analytics can add value and streamline processes.

• Conduct data analysis to understand patterns and trends that can be leveraged for strategic decision-making.

• Develop and implement analytics dashboards and reports to visualize data insights and support business objectives.

• Collaborate with IT and data engineering teams to ensure that the data architecture aligns with business needs.

• Provide guidance on best practices for data management, quality assurance, and security within Snowflake.

• Stay updated with the latest advancements in Snowflake, AI, and intelligent analytics to inform strategy and decision-making.

Skills and Tools Required:

• Advanced experience with Snowflake data warehousing platform, including data modeling, ETL processes, and SQL proficiency.

• Strong analytical skills with the ability to translate complex data into business insights.

• Familiarity with AI and machine learning concepts, along with tools that support intelligent analytics.

• Experience in data visualization tools such as Tableau, Power BI, or similar.

• Excellent communication and interpersonal skills, with the ability to engage effectively with business users and technical teams.

• Knowledge of automation tools and processes that can enhance operational efficiency.

• Ability to work in a fast-paced environment and manage multiple projects simultaneously.

• A bachelor's or master's degree in Computer Science, Information Technology, Data Science, or a related field is preferred.