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. Educational Qualification: 15 years full time education.
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 data requirements and deliver effective solutions that meet business needs.
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.
Professional & Technical Skills:
- Proficiency in Databricks Unified Data Analytics Platform.
- Strong understanding of data modeling and database design principles.
- Experience with data integration and ETL tools.
- Familiarity with cloud platforms and services related to data analytics.
- Ability to write efficient SQL queries for data manipulation and analysis.
This position is based at our Hyderabad office.