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Duration: 6 Months – 1 Year
No. of Vacancies : 3
Duration: Full time
Status: Open
Responsibilities
1.Collaborate with senior data engineers to design, develop, and maintain scalable data pipelines and ETL processes.
2.Assist in the implementation and optimization of data storage solutions, including databases, data lakes, and warehouses.
3.Support data modelling and schema design efforts to ensure data consistency and accuracy.
4.Perform data cleansing, transformation, and validation tasks to enhance data quality and usability.
5. Assist in monitoring and troubleshooting data pipeline performance issues and system failures.
6.Contribute to the documentation of data engineering processes, standards, and best practices.
7.Stay updated on emerging technologies and trends in data engineering to propose innovative solutions and improvements.
Qualifications
1.Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
2.0-2 years of experience in data engineering, database development, or a relevant field.
3.Solid understanding of data structures, data bricks, algorithms, and relational database concepts.
4.Proficiency in at least one programming language (e.g., Python, Java, Scala) and SQL.
5.Familiarity with distributed computing frameworks (e.g., Apache Spark) is a plus.
6.Strong analytical and problem-solving skills with a keen attention to detail.
7.Excellent communication and teamwork abilities.
8.Ability to adapt to changing priorities and work effectively in a fast-paced environment.