Key Responsibilities:

Design and develop Big Data solutions using Hadoop, Spark, and other Big Data technologies.
Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions.
Develop and maintain data pipelines to process and analyze large datasets.
Troubleshoot and optimize Big Data solutions to ensure data quality, reliability, and performance.
Work with cross-functional teams to integrate Big Data solutions with existing systems and applications.
Stay updated with the latest Big Data technologies and trends, and recommend improvements to enhance the company's data capabilities.
Write clean, efficient, and well-documented code following industry best practices and coding standards.
Participate in code reviews and provide constructive feedback to improve code quality.
Communicate effectively with team members and stakeholders to provide status updates and address any technical issues.

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or a related field.
1-2 years of experience in Big Data development using Hadoop, Spark, or other Big Data technologies.
Proficiency in programming languages such as Java, Python, and SQL.
Experience with ETL tools and techniques.
Familiarity with data modeling, data warehousing, and data visualization concepts.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.

If you are a self-motivated and passionate Junior Big Data Developer looking to join a dynamic team, we want to hear from you! Apply now and be a part of our exciting journey towards becoming a leader in the Big Data industry.

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