Hadoop Developer

Job Title: Hadoop Developer

Experience Required: 35 years
Location- Mumbai

About the Role:

We are seeking a skilled Hadoop Developer with 35 years of experience to join our data engineering team in Thane. The ideal candidate will have hands-on expertise in building, maintaining, and optimizing large-scale data processing systems using the Hadoop ecosystem.

Key Responsibilities:

• Design, develop, and maintain scalable big data applications using the Hadoop ecosystem.

• Work on data ingestion, transformation, and processing using tools like Hive, Pig, Spark, Sqoop, and Flume.

• Implement ETL pipelines and optimize data workflows for performance and scalability.

• Collaborate with data scientists, BI teams, and analysts to support business needs.

• Ensure data quality, security, and governance within the Hadoop cluster.

• Monitor, troubleshoot, and improve existing Hadoop jobs and data pipelines.

Required Skills & Qualifications:

• 35 years of hands-on experience in Hadoop ecosystem tools (HDFS, Hive, Pig, Sqoop, Flume, Spark, Oozie).

• Strong programming skills in Java, Python, or Scala.

• Experience with SQL and working with large datasets.

• Knowledge of ETL concepts and data integration techniques.

• Experience with real-time data streaming frameworks (Kafka, Spark Streaming) is a plus.

• Familiarity with cloud platforms (AWS, Azure, GCP) for big data solutions is desirable.

• Good problem-solving and communication skills.