Big Data Developer

Job Title: Big Data Developer
Location: Hyderabad
Work mode: 5 Days - (WFO)
Experience Required: 4-9 years
Key Skills: Big Data, Hadoop, Spark, Hive
Job Overview
We are looking for an experienced Big Data Hadoop Developer to design, build, and optimize large-scale data processing systems. The ideal candidate should have strong expertise in the Hadoop ecosystem, hands-on experience with Spark and Hive, and the ability to develop efficient ETL pipelines.

Key Responsibilities

• Design, develop, and maintain scalable big data systems and data pipelines.
• Implement data processing frameworks using Hadoop, Spark, and Hive.
• Develop and manage ETL workflows to ensure data accuracy, consistency, and availability.
• Collaborate with data architects, analysts, and business teams to translate requirements into robust big data solutions.
• Perform data validation, quality checks, and issue resolution for data pipelines.
• Optimize data storage, query performance, and cluster utilization in the Hadoop ecosystem.
• Ensure compliance with security, governance, and data management standards.

Required Skills & Qualifications

• 4+ years of hands-on experience in Big Data technologies.
• Strong understanding of the Hadoop ecosystem (HDFS, MapReduce, YARN).
• Proficiency in Apache Spark (batch and streaming) and Hive.
• Experience in building and maintaining data pipelines and ETL processes.
• Strong knowledge of data optimization, partitioning, and performance tuning.
• Familiarity with NoSQL databases such as HBase, Cassandra, or MongoDB is an advantage.
• Experience with programming/scripting languages: Java, Scala, Python, or Shell.
• Strong analytical and problem-solving skills.

Job Type: Full-time

Pay: ₹800,000.00 - ₹2,200,000.00 per year

Application Question(s):

• How many years of experience you have as a Data Engineer/ Big Data Developer?
• Do you have experience with Big Data, Hadoop, Spark and Hive?
• Are you willing to work 5 days from office?
• Mention your Current Notice period, Current CTC and Expected CTC.

Work Location: In person