Hadoop Data Engineer

Job Description

Position Title: Hadoop Data Engineer Location: Hyderabd and Gurgaon Position Type: Full-Time Required Experience: 3+ Years Job Overview: We are looking for experienced Data Engineers proficient in Hadoop, Hive, Python, SQL, and Pyspark/Spark to join our dynamic team. Candidates will be responsible for 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. Interview Process: L1: Virtual interview. L2: Face-to-Face interview at office. L3: Final round (Face-to-Face or Virtual). Job Types: Full-time, Permanent Pay: Up to ₹2,500,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Application Question(s): How many years of experience do you have in Python? How many years of experience do you have in Hive? Experience: total work: 3 years (Preferred) Hadoop: 3 years (Preferred) Work Location: In person