Data Engineer at Accenture

As a Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve building and maintaining a proper cloud or on-prem application pipeline with production-ready quality, applying GenAI models as part of the solution, and working with deep learning, neural networks, chatbots, and image processing.

Roles & Responsibilities:
- Design, develop, and maintain data pipelines and ETL processes to support data science and machine learning workflows.
- Collaborate with data scientists and machine learning engineers to understand their requirements and provide scalable solutions.
- Implement and maintain data storage solutions, including data lakes, data warehouses, and NoSQL databases.
- Develop and maintain data quality and data governance processes to ensure data accuracy, completeness, and consistency.
- Create and maintain documentation for data pipelines, ETL processes, and data storage solutions.

Professional & Technical Skills:
Must To Have Skills:
- Experience with data engineering tools and technologies such as Apache Spark, Hadoop, and SQL.
- Experience with cloud-based data storage and processing services such as AWS S3, Redshift, and EMR.

Good To Have Skills:
- Experience with AI tools and technologies such as TensorFlow, Keras, and PyTorch.
- Experience with containerization technologies such as Docker and Kubernetes.
- Strong understanding of data modeling, data warehousing, and data governance principles.
- Experience with data visualization tools such as Tableau or Power BI.

Additional Information:

- The candidate should have a minimum of 3 years of experience in Data Engineering.
- The ideal candidate will possess a strong educational background in computer science, data science, or a related field, along with a proven track record of delivering impactful data-driven solutions.
- This position is based at our Bengaluru office.