Job Title: Hadoop Developer

Experience Required: 3–5 years

Location- Mumbai

About the Role

We are seeking a skilled Hadoop Developer with 3–5 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.

Requirements

Required Skills & Qualifications:
- 3–5 years of hands-on experience in Hadoop ecosystem tools (HDFS, Hive, Pig, Sqoop, Flume, Spark, Oozie).

- Robust 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.

📌 Hadoop Developer (Mumbai)
🏢 ScatterPie Analytics
📍 Mumbai