Job highlights

- Experience with big data processing technologies such as Hadoop,Spark,or NoSQL databases
- Strong communication and collaboration skills,with experience working in agile development environments
- Design, develop, and implement data pipelines and architectures to support business intelligence and analytics.
- Collaborate with cross-functional teams to identify and prioritize project requirements.
- Develop and maintain large-scale data systems, ensuring scalability, reliability, and performance.
- Analyze complex data sets to extract insights and trends, providing actionable recommendations.
- Implement data quality checks and validation processes to ensure accuracy and integrity.
- Stay up-to-date with emerging trends and technologies in data engineering, applying this knowledge to improve processes.

Job Requirements
- Strong understanding of data structures, algorithms, and software design patterns.




- Experience with big data processing technologies such as Hadoop, Spark, or NoSQL databases.
- Proficiency in programming languages like Python, Java, or C++.
- Excellent problem-solving skills, with the ability to analyze complex issues and develop creative solutions.
- Solid communication and collaboration skills, with experience working in agile development environments.
- Ability to learn quickly, adapt to new technologies, and demonstrate a strong desire for professional growth.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Trainee - Data Engineer (Chennai)
🏢 Rocket India
📍 Chennai