Job highlights

- Experience with cloud computing platforms,such as Amazon Web Services (AWS) and Microsoft Azure,is an advantage.
- Experience with MapReduce programming,Hive and Pig scripting,and Hadoop Distributed File System (HDFS)
- Experience with data warehousing,ETL,and data integration technologies
- A Hadoop Developer is responsible for designing, developing, and maintaining big data solutions using Apache Hadoop.

Key responsibilities include
- Designing and developing scalable, productive, and reliable data processing pipelines using Hadoop and related technologies such as MapReduce and Hive.
- Writing and executing MapReduce jobs to process large datasets stored in Hadoop Distributed File System (HDFS).
- Collaborating with stakeholders to understand their data processing requirements and develop solutions that meet their needs.
- Integrating Hadoop with other data storage and processing technologies, such as NoSQL databases and data warehouses.
- Developing and maintaining data processing workflows using Apache Oozie or similar workflow management tools.
- Debugging and optimizing Hadoop applications to improve performance and scalability.




- Ensuring data quality and security through proper data validation, cleansing, and encryption.
- Writing and maintaining technical documentation for Hadoop solutions.
- Staying up-to-date with the latest developments in big data processing and related technologies.
- Performing other tasks as assigned by management.

Qualifications:
- Strong programming skills in Java and/or Python.
- Experience with MapReduce programming, Hive and Pig scripting, and Hadoop Distributed File System (HDFS).
- Knowledge of NoSQL databases, such as HBase, Cassandra, and MongoDB.
- Experience with data warehousing, ETL, and data integration technologies.
- Strong analytical and problem-solving skills, with the ability to debug and optimize complex data processing pipelines.
- Good communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Familiarity with Agile software development methodologies.
- Experience with cloud computing platforms, such as Amazon Web Services (AWS) and Microsoft Azure, is an advantage.

📌 Java + Hadoop developer (Kolkata)
🏢 GForce Consulting Solutions
📍 Kolkata