Data Engineer

Data Engineer

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 Cloud Platform Architecture, Google Cloud Machine Learning Services, Deep Learning

Good to have skills: NA

Minimum 5 year(s) of experience is required

15 years full time education required

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to optimize data workflows and enhance data accessibility, ultimately contributing to the organization's data-driven decision-making processes.

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.
• Mentor junior team members to enhance their skills and knowledge.
• Continuously evaluate and improve data processes to ensure efficiency and effectiveness.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Google Cloud Platform Architecture, Deep Learning, Google Cloud Machine Learning Services. Experience with data modeling and database design. Strong understanding of ETL processes and data integration techniques. Familiarity with data warehousing concepts and technologies.
• Knowledge of programming languages such as Python or Java for data manipulation.

This position is based at our Pune office.