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 : Google BigQuery, Python (Programming Language), Data Build Tool Good to have skills : NA 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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that extract, transform, and load data to facilitate seamless migration and deployment across various systems, enabling smooth data flow and accessibility for multiple teams and applications.

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 needs.
• Mentor junior team members and support their professional growth.
• Coordinate cross-functional efforts to align data strategies with organizational goals.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Google BigQuery, Python (Programming Language), Data Build Tool.
• Strong experience in building and optimizing data pipelines and workflows.
• Expertise in managing large-scale data processing and storage solutions.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Familiarity with cloud-based data platforms and services.
• Knowledge of data modeling, schema design, and performance tuning.

Additional Information: