Data Engineer (Big Data / ETL) - 12 Months Contract

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!