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 : Microsoft Azure Data Services, Data Build Tool

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring that data infrastructure supports organizational needs effectively and reliably.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the design and implementation of scalable data architectures to support business requirements.
• Mentor junior team members to enhance their technical skills and professional growth.
• Coordinate cross-functional efforts to ensure data solutions align with organizational goals.
• Continuously evaluate and improve data processes to increase efficiency and reliability.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Snowflake Data Warehouse.
• Good To Have Skills: Experience with Data Build Tool, Microsoft Azure Data Services.
• Strong knowledge of data pipeline development and ETL best practices.
• Experience in optimizing data storage and query performance within cloud data platforms.
• Ability to work with large datasets and ensure data quality and consistency.
• Familiarity with scripting and automation to streamline data workflows.
  
  

Additional Information:

• The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.