Data Engineer

Experience: 4+ years

Position: Data Engineer

Roles & Responsibilities:

Design, build, and maintain scalable data pipelines and architecture in Snowflake Data Warehousing environment.

Lead the design and implementation of data models and schemas to support business requirements.

Develop and optimize SQL queries and procedures for efficient data retrieval and processing.

Collaborate with cross-functional teams to understand data requirements and deliver data solutions.

Mentor and lead a team of data engineers, providing guidance on best practices and technical skills development.

Ensure data quality, integrity, and reliability throughout the data lifecycle.

Evaluate and implement cloud technologies and tools to enhance data processing and analytics capabilities.

Design and implement dimensional and relational data models to support analytics and reporting needs.

Skills & Experience Required:

Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.

4 years of experience as a Data Engineer or similar role.

Proven experience with Snowflake Data Warehousing platform.

Strong proficiency in SQL and database management systems.

Solid understanding of data modeling concepts and techniques.

Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Proficiency in at least one programming language (e.g., Python,Scala, Java) for scripting and automation.

Excellent problem-solving and analytical skills.

Strong communication and leadership abilities.

Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.