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 7.5 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 provide innovative solutions that enhance data accessibility and usability.
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 in data engineering.
- Continuously evaluate and improve data processes to ensure efficiency and effectiveness.
Professional & Technical Skills:
- Proficiency in Databricks Unified Data Analytics Platform.
- Strong understanding of data pipeline architecture and design.
- Experience with ETL processes and data integration techniques.
- Familiarity with data quality frameworks and best practices.
- Knowledge of cloud platforms and services related to data storage and processing.
This position is based at our Hyderabad office.