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 : Data Build Tool Good to have skills : Snowflake Data Warehouse 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 robust 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 optimize data workflows and troubleshoot any issues is a key 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 efforts to optimize data pipeline performance and scalability.
• Mentor junior team members to enhance their technical skills and project contributions.