Big Data Hadoop Developer

Reposted Yesterday
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Kuala Lumpur, WP. Kuala Lumpur, Kuala Lumpur
In-Office
Mid level
Information Technology • Consulting
The Role
The Big Data Hadoop Developer designs and maintains data processing solutions and optimizes Hadoop-based systems for analytics using tools like Hive, Spark, and SQL databases.
Summary Generated by Built In
Description

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.

Top Skills

Flume
Hadoop
Hive
Java
Kafka
Linux
Mapreduce
Mariadb
Nifi
Oozie
Oracle Db
Python
Scala
Spark
Sqoop
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The Company
96 Employees
Year Founded: 2012

What We Do

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.

Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.

We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.

Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field

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