Bigdata Hadoop developer

Location: Hyderabad

Experience: 6–10 years

Key Responsibilities:

• Design, develop, and maintain scalable big data systems and pipelines.
• Implement data processing frameworks and optimize large datasets using tools such as Hadoop, Spark, and Hive.
• Develop and maintain ETL processes to ensure data availability, accuracy, and quality for downstream applications.
• Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable big data solutions.
• Perform data validation, quality checks, and troubleshooting to maintain reliability of pipelines.
• Optimize data storage, retrieval, and performance in Hadoop ecosystem.
• Ensure security, governance, and compliance across big data environments.

Required Skills & Qualifications:

• 6–10 years of hands-on experience in Big Data technologies.
• Strong expertise in Hadoop ecosystem (HDFS, MapReduce, YARN).
• Proficiency with Apache Spark (batch and streaming) and Hive.
• Experience in designing and implementing data pipelines and ETL processes.
• Knowledge of data optimization, partitioning, and performance tuning in large datasets.
• Familiarity with NoSQL databases (HBase, Cassandra, MongoDB) is a plus.
• Experience with scripting/programming languages (Java, Scala, Python, or Shell).
• Strong problem-solving

Preferred Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Information Technology, or related field.
• Experience in real-time data processing with tools like Kafka, Flink, or Storm.
• Exposure to data governance and security frameworks in big data environments.

Application Process:
Interested candidates, email resume and cover letter to velkiruba.s@sunware.in

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

Benefits:

• Health insurance

Application Question(s):

• What is your Total years of experience?
• What is your Current CTC?
• What is your Expected CTC?
• What is your Notice Period? (Max 15 days)
• How many years of work experience do you have with data processing frameworks like Hadoop, Spark, or Hive?
• Any experience with scripting/programming languages (Java, Scala, Python, or Shell)?
• Any exposure to NoSQL databases like MongoDB, Cassandra, or HBase?
• What is your relevant experience in data pipelines and ETL?

Work Location: In person