Hadoop Data Engineer

Role Overview: As a Hadoop Data Engineer at our company, you will be an integral part of our dynamic team. You should be well-versed in Hadoop, Hive, Python, SQL, and Pyspark/Spark, and have a strong background in designing, developing, and maintaining scalable big data solutions. Key Responsibilities: - Develop and optimize data pipelines for large-scale data processing. - Work with structured and unstructured datasets to derive actionable insights. - Collaborate with cross-functional teams to enhance data-driven decision-making. - Ensure the performance, scalability, and reliability of data architectures. - Implement best practices for data security and governance. Qualifications Required: - 3-7 years of experience in data engineering with proficiency in Hadoop, Hive, Python, SQL, and Pyspark/Spark. - Strong understanding of big data technologies and data processing frameworks. - Excellent problem-solving skills and the ability to work in a fast-paced environment. (Note: No additional details of the company were mentioned in the job description),