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.
Must have skills: Databricks Unified Data Analytics Platform
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 understand data requirements and contribute to the overall data strategy of the organization, ensuring that data is accessible and reliable for decision-making purposes.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Develop and optimize data pipelines to enhance data processing efficiency.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Professional & Technical Skills:
- Proficiency in Databricks Unified Data Analytics Platform.
- Experience with data integration tools and techniques.
- Strong understanding of data modeling concepts and best practices.
- Familiarity with cloud platforms and services related to data storage and processing.
- Knowledge of programming languages such as Python or Scala for data manipulation.
This position is based at our Bengaluru office.