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Big Data Hadoop Developer
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Big Data Hadoop Developer
Job summary
A leading data solutions company in Kuala Lumpur is seeking a Big Data Hadoop Developer to design and maintain data processing solutions. The ideal candidate should have strong experience with Hadoop and skill in integrating relational databases like MariaDB or Oracle DB. Responsibilities include optimizing data solutions, collaborating with BI teams, and ensuring data governance. This position requires strong analytical skills and experience with programming languages like Java or Python.
Qualifications
- Hands-on experience with the Hadoop ecosystem.
- Experience integrating relational databases such as MariaDB or Oracle DB.
- Strong analytical and problem-solving abilities.
Responsibilities
- Design, develop, and optimize Hadoop-based big data solutions for batch and real-time data processing.
- Work with data ingestion frameworks to integrate data from MariaDB/Oracle DB into Hadoop.
- Implement Hive, Spark, and MapReduce jobs for data transformation and analytics.
Job Summary:
We are looking for a Big Data Hadoop Developer to design, develop, and maintain large-scale data processing solutions. The ideal candidate should have strong hands-on experience with the Hadoop ecosystem and integration with relational databases such as MariaDB or Oracle DB for analytics and reporting.
Key Responsibilities:
- Design, develop, and optimize Hadoop-based big data solutions for batch and real-time data processing.
- Work with data ingestion frameworks to integrate data from MariaDB/Oracle DB into Hadoop (Sqoop, Apache Nifi, Kafka).
- Implement Hive, Spark, and MapReduce jobs for data transformation and analytics.
- Optimize Hive queries, Spark jobs, and HDFS usage for performance and cost efficiency.
- Create and maintain ETL pipelines for structured and unstructured data.
- Troubleshoot and resolve issues in Hadoop jobs and database connectivity.
- Collaborate with BI, analytics, and data science teams for data provisioning.
- Ensure data security, governance, and compliance in all solutions.
Technical Skills:
- Big Data Ecosystem: Hadoop (HDFS, YARN), Hive, Spark, Sqoop, MapReduce, Oozie, Flume.
- Databases: MariaDB and/or Oracle DB (SQL, PL/SQL).
- Programming: Java, Scala, or Python for Spark/MapReduce development.
- Data Ingestion: Sqoop, Kafka, Nifi (for integrating RDBMS with Hadoop).
- Query Optimization: Hive tuning, partitioning, bucketing, indexing.
- Tools: Ambari, Cloudera Manager, Git, Jenkins.
- OS & Scripting: Linux/Unix shell scripting.
Soft Skills:
- Strong analytical skills and problem-solving abilities.
- Good communication skills for working with cross-functional teams.
- Ability to manage priorities in a fast-paced environment.
Nice to Have:
- Experience with cloud-based big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc).
- Knowledge of NoSQL databases (HBase, Cassandra).
- Exposure to machine learning integration with Hadoop/Spark.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.