We are looking for an experienced Data Engineer to support enterprise data platform and big data initiatives in a large banking environment.

The role involves designing and implementing data integration pipelines, supporting data lake platforms, and ensuring data quality across analytics and reporting systems.

This is a 12-month contract with NTT DATA, deployed onsite at Changi Business Park.

Salary Budget: Up to SGD 7,500 per month

Key Responsibilities

• Design and develop ETL/ELT data integration pipelines for data warehouse and data lake platforms.

• Develop and maintain big data processing frameworks using Spark, Hive, and Hadoop ecosystem tools.

• Build and optimize data ingestion pipelines for batch and streaming data.

• Write complex SQL / SparkSQL / HiveQL queries for data transformation and validation.

• Perform data reconciliation and data quality validation between source systems and data warehouse/data lake environments.

• Collaborate with data architects, analysts, and application teams to implement data integration solutions.

• Support data migration, data transformation, and data analytics projects.

• Participate in SDLC activities including design, development, testing, deployment, and support.

• Implement best practices in data management, scheduling, monitoring, and performance tuning.

  
  Requirements

  • 5-10 years of experience in data engineering, data warehouse, or big data projects.

  • Hands-on experience designing and developing ETL/ELT pipelines.

  • Strong experience working with Hadoop ecosystem technologies such as:

    • HDFS

    • Hive

    • Spark

    • Kafka

    • Sqoop

    • NiFi

    • Impala

    • HBase

    • Cassandra

  • Experience working with Cloudera or Hortonworks distributions.

  • Strong experience with RDBMS databases such as Oracle, SQL Server, PostgreSQL, MySQL, or DB2.

  • Hands-on programming experience in Python or Scala with Spark framework.

  • Experience in data warehouse design and data modeling concepts.

  • Familiarity with NoSQL databases such as Cassandra, MongoDB, or HBase.

  • Experience working with Agile / Scrum methodologies.

    
    Nice to Have

    • Experience with stream processing frameworks such as Kafka Streaming or Spark Structured Streaming.

    • Knowledge of DevOps / CI-CD tools such as Jenkins, Docker, GitHub, Puppet, or Chef.

    • Exposure to data visualization tools such as Tableau, Power BI, or QlikView.

    • Experience in banking or financial services environments.

      
      Interested candidates are kindly requested to email their CV with their experience to

      We look forward to your application!