Job Responsibilities :

- Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and design efficient data models.

- Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions.

- Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.

- Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently.

- Perform data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modelling.

- Monitor data flows and processes, identify and resolve data-related issues and bottlenecks.

- Contribute to the continuous improvement of data engineering practices and standards within the organization.

- Stay up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing

Candidate Profile :

- Strong passion for data engineering, artificial intelligence, and problem-solving.

- Solid understanding of data engineering concepts, data modeling, and data integration techniques.

- Proficiency in programming languages such as Python, SQL and Web Scrapping.

- Understanding of databases like No Sql , relational database, In Memory database and technologies like MongoDB, Redis, Apache Spark would be add on..

- Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus.

- Excellent analytical and problem-solving skills, with a keen eye for detail.

- Strong communication and collaboration skills, with the ability to work effectively in a team- oriented environment.

- Self-motivated, quick learner, and adaptable to changing priorities and technologies.