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Big Data Engineer

0 years

15 - 19 Lacs

Gurgaon

Posted:1 day ago| Platform:

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Skills Required

data hadoop video hive python sql pyspark spark scalability reliability security

Work Mode

On-site

Job Type

Full Time

Job Description

NEW OPPORTUNITY || IMMEDIATE TO 45 DAYS JOINERS REQUIRED || Role: Hadoop Data Engineer Location: Gurgaon / Hyderabad Work Mode: Hybrid Employment Type: Full-Time Interview Mode: First Video then In Person Job Description 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. Job Type: Full-time Pay: ₹1,597,042.36 - ₹1,988,639.54 per year Schedule: Day shift Application Question(s): How many years of total experience do you have? How many years of relevant experience as Hadoop Data Engineer do you have? Do you have good hands-on-experience in all the skills - Hadoop, Hive, Python, SQL, Pyspark/Spark? Can you join within 45 days? Are you comfortable with F2F interview at Gurgaon/ Hyderabad? Work Location: In person

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