Data Engineer

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Snowflake Data Warehouse

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring robust and scalable data infrastructure.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to gather and analyze data requirements for effective data pipeline design.
• Monitor and troubleshoot data workflows to maintain optimal performance and reliability.
• Document data processes and workflows to support knowledge sharing and operational continuity.
• Assist junior team members by providing guidance and support in understanding data engineering concepts and practices.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Snowflake Data Warehouse.
• Strong experience in designing and implementing ETL processes to manage data migration and integration.
• Knowledge of data modeling techniques and best practices for building scalable data architectures.
• Familiarity with data quality frameworks and methods to ensure accuracy and consistency of data.
• Ability to optimize data pipelines for performance and cost efficiency within cloud environments.
• Experience with scripting and automation tools to streamline data processing tasks.
  
  

Additional Information:

• The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.
• This position is based at our Hyderabad office.
• A 15 years full time education is required.