Data Engineer
Accenture
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.
Minimum 5 year(s) of experience is required. 15 years full time education is 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 understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization.
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 enhance efficiency and effectiveness.
Professional & Technical Skills:
- Proficiency in Python (Programming Language).
- Strong understanding of data pipeline architecture and ETL processes.
- Experience with data quality assurance and data governance practices.
- Familiarity with cloud platforms and data storage solutions.
- Ability to work with large datasets and perform data analysis.
This position is based at our Nagpur office.