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: PySpark
Minimum 3 year(s) of experience is required. Educational Qualification: 15 years full time education.
As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating robust data pipelines, ensuring the integrity and quality of data, and implementing efficient 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, ensuring that the solutions you develop align with organizational goals and enhance data accessibility for stakeholders.
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.
- Collaborate with data scientists and analysts to understand data needs and provide appropriate solutions.
- Monitor and optimize data pipelines for performance and reliability.
Professional & Technical Skills:
- Proficiency in PySpark.
- Strong understanding of data modeling and database design principles.
- Experience with ETL tools and processes.
- Familiarity with cloud platforms such as AWS or Azure.
- Knowledge of data warehousing concepts and technologies.
This position is based at our Hyderabad office.